StarBASE-GP: Biologically-Guided Automated Machine Learning for Genotype-to-Phenotype Association Analysis | Paper Citation Record

Observation 98cf9c6c-aad2-4d01-8285-2aef7b7d3068 · outbound

This paper cites Xv.—the correlation between relatives on the supposition of mendelian inheritance.

StarBASE-GP: Biologically-Guided Automated Machine Learning for Genotype-to-Phenotype Association Analysis Xv.—the correlation between relatives on the supposition of mendelian inheritance

Reference 1

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Observation 5131c8d5-ec0f-4cb5-8034-e5b8fc4c7a6c · outbound

This paper cites Evolution in mendelian populations,.

StarBASE-GP: Biologically-Guided Automated Machine Learning for Genotype-to-Phenotype Association Analysis Evolution in mendelian populations,

Reference 2

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This paper cites an unresolved cited work.

StarBASE-GP: Biologically-Guided Automated Machine Learning for Genotype-to-Phenotype Association Analysis Unresolved cited work

Reference 3

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Observation 16bfa297-f6d0-4cc5-8218-5f336cc5548f · outbound

This paper cites Lynch, B.

StarBASE-GP: Biologically-Guided Automated Machine Learning for Genotype-to-Phenotype Association Analysis Lynch, B

Reference 4

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Observation f1dca663-cce1-433b-b0be-8e4b20cfe262 · outbound

This paper cites Genome-wide association studies,.

StarBASE-GP: Biologically-Guided Automated Machine Learning for Genotype-to-Phenotype Association Analysis Genome-wide association studies,

Reference 5

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This paper cites Quantitative trait locus (qtl) analysis,.

StarBASE-GP: Biologically-Guided Automated Machine Learning for Genotype-to-Phenotype Association Analysis Quantitative trait locus (qtl) analysis,

Reference 6

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Observation c854d2d9-c24d-4ed3-935c-17bfd683e5a8 · outbound

This paper cites Epistasis and its implications for personal genetics,.

StarBASE-GP: Biologically-Guided Automated Machine Learning for Genotype-to-Phenotype Association Analysis Epistasis and its implications for personal genetics,

Reference 7

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Observation 92194c21-4b88-4c88-af51-d204be460b3b · outbound

This paper cites Interaction models matter: an efficient, flexible computational framework for model-specific investigation of epistasis,.

StarBASE-GP: Biologically-Guided Automated Machine Learning for Genotype-to-Phenotype Association Analysis Interaction models matter: an efficient, flexible computational framework for model-specific investigation of epistasis,

Reference 8

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Observation 3f0fae7f-5d73-47f6-bc91-d4aad59bb6b4 · outbound

This paper cites Benefits and limitations of genome-wide association studies,.

StarBASE-GP: Biologically-Guided Automated Machine Learning for Genotype-to-Phenotype Association Analysis Benefits and limitations of genome-wide association studies,

Reference 9

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Observation cbb8a27d-7da1-45b9-a9f1-867f9179bd4c · outbound

This paper cites Preferential reciprocal transfer of paternal/maternal dlk1 alleles to obese children: first evidence of polar overdominance in humans,.

StarBASE-GP: Biologically-Guided Automated Machine Learning for Genotype-to-Phenotype Association Analysis Preferential reciprocal transfer of paternal/maternal dlk1 alleles to obese children: first evidence of polar overdominance in humans,

Reference 10

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Observation e73afbf3-9a31-444c-b24c-783640d808ee · outbound

This paper cites Powerful decomposition of complex traits in a diploid model,.

StarBASE-GP: Biologically-Guided Automated Machine Learning for Genotype-to-Phenotype Association Analysis Powerful decomposition of complex traits in a diploid model,

Reference 11

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Observation cd92849a-a48c-46b2-a2aa-062b78510c00 · outbound

This paper cites Comparative transcriptome analysis among parental inbred and crosses reveals the role of dominance gene expression in heterosis in drosophila melanogaster,.

StarBASE-GP: Biologically-Guided Automated Machine Learning for Genotype-to-Phenotype Association Analysis Comparative transcriptome analysis among parental inbred and crosses reveals the role of dominance gene expression in heterosis in drosophila melanogaster,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:08:27.470034Z

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Observation b5b591c4-c49b-41a5-9f6c-a789065c52b8 · outbound

This paper cites Incomplete dominance of deleterious alleles contributes substantially to trait variation and heterosis in maize,.

StarBASE-GP: Biologically-Guided Automated Machine Learning for Genotype-to-Phenotype Association Analysis Incomplete dominance of deleterious alleles contributes substantially to trait variation and heterosis in maize,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:08:27.242231Z

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Observation ff517c50-6284-40ce-b00f-777eb295b4ea · outbound

This paper cites Comparison of gwas models to identify non-additive genetic control of flowering time in sunflower hybrids,.

StarBASE-GP: Biologically-Guided Automated Machine Learning for Genotype-to-Phenotype Association Analysis Comparison of gwas models to identify non-additive genetic control of flowering time in sunflower hybrids,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:08:27.113397Z

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Observation fa176c1f-c676-43d1-918b-11269f7bc265 · outbound

This paper cites Recessive/dominant model: Alternative choice in case-control- based genome-wide association studies,.

StarBASE-GP: Biologically-Guided Automated Machine Learning for Genotype-to-Phenotype Association Analysis Recessive/dominant model: Alternative choice in case-control- based genome-wide association studies,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:08:26.904755Z

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Observation 1705027f-6d2f-401e-8a8a-d1e7b90bd574 · outbound

This paper cites The interplay of additivity, dominance, and epistasis on fitness in a diploid yeast cross,.

StarBASE-GP: Biologically-Guided Automated Machine Learning for Genotype-to-Phenotype Association Analysis The interplay of additivity, dominance, and epistasis on fitness in a diploid yeast cross,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:08:26.748225Z

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Observation 095dfc1c-74a8-49b7-a4c8-73d170c87cb6 · outbound

This paper cites Pager: A novel genotype encoding strategy for modeling deviations from additivity in complex trait association studies,.

StarBASE-GP: Biologically-Guided Automated Machine Learning for Genotype-to-Phenotype Association Analysis Pager: A novel genotype encoding strategy for modeling deviations from additivity in complex trait association studies,

Reference 17

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Observation 7cb06961-540d-4533-8852-af5d1e5b3203 · outbound

This paper cites The (in) famous gwas p-value threshold revisited and updated for low-frequency variants,.

StarBASE-GP: Biologically-Guided Automated Machine Learning for Genotype-to-Phenotype Association Analysis The (in) famous gwas p-value threshold revisited and updated for low-frequency variants,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:08:26.291554Z

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Observation 922e8511-3eea-4884-abc5-ff272d7052ac · outbound

This paper cites Accounting for multiple comparisons in a genome-wide association study (gwas),.

StarBASE-GP: Biologically-Guided Automated Machine Learning for Genotype-to-Phenotype Association Analysis Accounting for multiple comparisons in a genome-wide association study (gwas),

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:08:26.064629Z

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Observation 4189a15c-f0e2-456d-a756-af874dc9ff05 · outbound

This paper cites Sample size and statistical power calculation in genetic association studies,.

StarBASE-GP: Biologically-Guided Automated Machine Learning for Genotype-to-Phenotype Association Analysis Sample size and statistical power calculation in genetic association studies,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:08:25.876994Z

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Observation 10d6a8a5-7614-4b40-ab88-104a06e067aa · outbound

This paper cites Assessing genome-wide statistical significance for large p small n problems,.

StarBASE-GP: Biologically-Guided Automated Machine Learning for Genotype-to-Phenotype Association Analysis Assessing genome-wide statistical significance for large p small n problems,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:08:25.644982Z

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Observation 831ecdff-6ac2-4673-9db7-3245c8111443 · outbound

This paper cites Learning from our gwas mistakes: from experimental design to scientific method,.

StarBASE-GP: Biologically-Guided Automated Machine Learning for Genotype-to-Phenotype Association Analysis Learning from our gwas mistakes: from experimental design to scientific method,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:08:25.300435Z

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Observation 40b0166f-c053-43e4-9090-608735b3a086 · outbound

This paper cites A unified stepwise regression procedure for evaluating the relative effects of polymorphisms within a gene using case/control or family data: application to hla in type 1 diabetes,.

StarBASE-GP: Biologically-Guided Automated Machine Learning for Genotype-to-Phenotype Association Analysis A unified stepwise regression procedure for evaluating the relative effects of polymorphisms within a gene using case/control or family data: application to hla in type 1 diabetes,

Reference 23

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Observation 5f94f65b-1ffb-4774-8315-5991e45e2b34 · outbound

This paper cites Accommodating linkage disequilibrium in genetic-association analyses via ridge regression,.

StarBASE-GP: Biologically-Guided Automated Machine Learning for Genotype-to-Phenotype Association Analysis Accommodating linkage disequilibrium in genetic-association analyses via ridge regression,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:08:24.515203Z

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This paper cites Identifying qtls and epistasis in structured plant populations using adaptive mixed lasso,.

StarBASE-GP: Biologically-Guided Automated Machine Learning for Genotype-to-Phenotype Association Analysis Identifying qtls and epistasis in structured plant populations using adaptive mixed lasso,

Reference 25

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Observation 04009f41-73dd-4f3f-a84d-cdd44431fbbb · outbound

This paper cites Reaching the end-game for gwas: machine learning approaches for the prioritization of complex disease loci,.

StarBASE-GP: Biologically-Guided Automated Machine Learning for Genotype-to-Phenotype Association Analysis Reaching the end-game for gwas: machine learning approaches for the prioritization of complex disease loci,

Reference 26

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This paper cites Machine learning to advance human genome-wide association studies,.

StarBASE-GP: Biologically-Guided Automated Machine Learning for Genotype-to-Phenotype Association Analysis Machine learning to advance human genome-wide association studies,

Reference 27

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Observation 9fcfdbd5-6813-4e95-9eee-e96fbb841066 · outbound

This paper cites Random forests approach for identifying additive and epistatic single nucleotide polymorphisms associated with residual feed intake in dairy cattle,.

StarBASE-GP: Biologically-Guided Automated Machine Learning for Genotype-to-Phenotype Association Analysis Random forests approach for identifying additive and epistatic single nucleotide polymorphisms associated with residual feed intake in dairy cattle,

Reference 28

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Observation b55bdbdb-e5d9-406d-a609-d71b27fe8e17 · outbound

This paper cites Genome- wide association data classification and snps selection using two-stage quality-based random forests,.

StarBASE-GP: Biologically-Guided Automated Machine Learning for Genotype-to-Phenotype Association Analysis Genome- wide association data classification and snps selection using two-stage quality-based random forests,

Reference 29

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This paper cites Machine learning identifies inter- 15 acting genetic variants contributing to breast cancer risk: A case study in finnish cases and controls,.

StarBASE-GP: Biologically-Guided Automated Machine Learning for Genotype-to-Phenotype Association Analysis Machine learning identifies inter- 15 acting genetic variants contributing to breast cancer risk: A case study in finnish cases and controls,

Reference 30

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This paper cites Random forests,.

StarBASE-GP: Biologically-Guided Automated Machine Learning for Genotype-to-Phenotype Association Analysis Random forests,

Reference 31

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This paper cites A unified approach to interpreting model predictions,.

StarBASE-GP: Biologically-Guided Automated Machine Learning for Genotype-to-Phenotype Association Analysis A unified approach to interpreting model predictions,

Reference 32

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This paper cites Molnar,Interpretable machine learning.

StarBASE-GP: Biologically-Guided Automated Machine Learning for Genotype-to-Phenotype Association Analysis Molnar,Interpretable machine learning

Reference 33

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Observation 794e6690-0f4f-4aef-892c-1e9ef2641765 · outbound

This paper cites Permutation importance: a corrected feature importance measure,.

StarBASE-GP: Biologically-Guided Automated Machine Learning for Genotype-to-Phenotype Association Analysis Permutation importance: a corrected feature importance measure,

Reference 34

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This paper cites Automated quantitative trait locus analysis (autoqtl),.

StarBASE-GP: Biologically-Guided Automated Machine Learning for Genotype-to-Phenotype Association Analysis Automated quantitative trait locus analysis (autoqtl),

Reference 35

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This paper cites The promise of automated machine learning for the genetic analysis of complex traits,.

StarBASE-GP: Biologically-Guided Automated Machine Learning for Genotype-to-Phenotype Association Analysis The promise of automated machine learning for the genetic analysis of complex traits,

Reference 36

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This paper cites Scaling tree-based automated machine learning to biomedical big data with a feature set selector,.

StarBASE-GP: Biologically-Guided Automated Machine Learning for Genotype-to-Phenotype Association Analysis Scaling tree-based automated machine learning to biomedical big data with a feature set selector,

Reference 37

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This paper cites Toward the automated analysis of complex diseases in genome-wide association studies using genetic programming,.

StarBASE-GP: Biologically-Guided Automated Machine Learning for Genotype-to-Phenotype Association Analysis Toward the automated analysis of complex diseases in genome-wide association studies using genetic programming,

Reference 38

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This paper cites Knowledge-guided deep learning models of drug toxicity improve interpretation,.

StarBASE-GP: Biologically-Guided Automated Machine Learning for Genotype-to-Phenotype Association Analysis Knowledge-guided deep learning models of drug toxicity improve interpretation,

Reference 39

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This paper cites Machine learning: Models, chal- lenges, and research directions,.

StarBASE-GP: Biologically-Guided Automated Machine Learning for Genotype-to-Phenotype Association Analysis Machine learning: Models, chal- lenges, and research directions,

Reference 40

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This paper cites Hands-on training about overfitting,.

StarBASE-GP: Biologically-Guided Automated Machine Learning for Genotype-to-Phenotype Association Analysis Hands-on training about overfitting,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:08:20.300892Z

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This paper cites Interpreting black-box models: a review on explainable artificial intelligence,.

StarBASE-GP: Biologically-Guided Automated Machine Learning for Genotype-to-Phenotype Association Analysis Interpreting black-box models: a review on explainable artificial intelligence,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:08:20.099897Z

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This paper cites Hutter, L.

StarBASE-GP: Biologically-Guided Automated Machine Learning for Genotype-to-Phenotype Association Analysis Hutter, L

Reference 43

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Observation a10f25a8-e42b-404b-8a48-a26e006c034b · outbound

This paper cites an unresolved cited work.

StarBASE-GP: Biologically-Guided Automated Machine Learning for Genotype-to-Phenotype Association Analysis Unresolved cited work

Reference 44

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Observation 97c1e7a9-c077-4310-9a11-21b0645f4c3d · outbound

This paper cites The coefficient of determi- nation r-squared is more informative than smape, mae, mape, mse and rmse in regression analysis evaluation,.

StarBASE-GP: Biologically-Guided Automated Machine Learning for Genotype-to-Phenotype Association Analysis The coefficient of determi- nation r-squared is more informative than smape, mae, mape, mse and rmse in regression analysis evaluation,

Reference 45

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This paper cites A simulation study of the number of events per variable in logistic regression analysis,.

StarBASE-GP: Biologically-Guided Automated Machine Learning for Genotype-to-Phenotype Association Analysis A simulation study of the number of events per variable in logistic regression analysis,

Reference 46

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Observation 6b5874a4-6aa3-403a-a741-a4cc83f753ca · outbound

This paper cites Conditional and joint multiple-snp analysis of gwas summary statistics identifies additional variants influencing complex traits,.

StarBASE-GP: Biologically-Guided Automated Machine Learning for Genotype-to-Phenotype Association Analysis Conditional and joint multiple-snp analysis of gwas summary statistics identifies additional variants influencing complex traits,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:08:19.532626Z

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This paper cites Regression models,.

StarBASE-GP: Biologically-Guided Automated Machine Learning for Genotype-to-Phenotype Association Analysis Regression models,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:08:19.401299Z

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Observation be785b28-d63a-4cd5-924d-8bdbd7027d3b · outbound

This paper cites Scikit-learn: Machine learning in python,.

StarBASE-GP: Biologically-Guided Automated Machine Learning for Genotype-to-Phenotype Association Analysis Scikit-learn: Machine learning in python,

Reference 49

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Observation e796106a-ac35-41ff-9cd6-0e522952e5a0 · outbound

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Reference 50

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Observation 43505fc7-6513-44fa-9fad-a79e28a80038 · outbound

This paper cites A fast and elitist multiobjective genetic algorithm: Nsga-ii,.

StarBASE-GP: Biologically-Guided Automated Machine Learning for Genotype-to-Phenotype Association Analysis A fast and elitist multiobjective genetic algorithm: Nsga-ii,

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:08:18.991605Z

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Observation 0f25bf29-d643-42bd-ae90-b3f3d6788c06 · outbound

This paper cites Development of the national institutes of health genetically heterogeneous rat stock,.

StarBASE-GP: Biologically-Guided Automated Machine Learning for Genotype-to-Phenotype Association Analysis Development of the national institutes of health genetically heterogeneous rat stock,

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:08:18.714928Z

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Observation 4eed04d4-2065-4aa6-98bf-19102969c758 · outbound

This paper cites Genome- wide association study in 3,173 outbred rats identifies multiple loci for body weight, adiposity, and fasting glucose,.

StarBASE-GP: Biologically-Guided Automated Machine Learning for Genotype-to-Phenotype Association Analysis Genome- wide association study in 3,173 outbred rats identifies multiple loci for body weight, adiposity, and fasting glucose,

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:08:18.522707Z

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Observation 4a4c0f09-d8d8-4705-a342-0f3e367a00f1 · outbound

This paper cites Plink: a tool set for whole-genome association and population-based linkage analyses,.

StarBASE-GP: Biologically-Guided Automated Machine Learning for Genotype-to-Phenotype Association Analysis Plink: a tool set for whole-genome association and population-based linkage analyses,

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:08:18.295574Z

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Observation 27a1a426-6fc0-4e3e-a85a-51a5dfdb3a5a · outbound

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StarBASE-GP: Biologically-Guided Automated Machine Learning for Genotype-to-Phenotype Association Analysis Unresolved cited work

Reference 55

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StarBASE-GP: Biologically-Guided Automated Machine Learning for Genotype-to-Phenotype Association Analysis Principal components analysis corrects for strat- ification in genome-wide association studies,

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:08:17.961520Z

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Observation d5bc8dea-abbe-4413-ab72-725fb969e10e · outbound

This paper cites Evolutionary algorithms for multiobjective optimization: Methods and applications,.

StarBASE-GP: Biologically-Guided Automated Machine Learning for Genotype-to-Phenotype Association Analysis Evolutionary algorithms for multiobjective optimization: Methods and applications,

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:08:17.806309Z

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Observation 147a0a13-7175-4355-8e5f-6d927c3c3508 · outbound

This paper cites Comparison of multiobjective evolutionary algorithms: Empirical results,.

StarBASE-GP: Biologically-Guided Automated Machine Learning for Genotype-to-Phenotype Association Analysis Comparison of multiobjective evolutionary algorithms: Empirical results,

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:08:17.645784Z

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Observation b048d3d6-ed4b-4989-865d-c577a3e9b5e0 · outbound

This paper cites 2022 updates to the rat genome database: a findable, accessible, interoperable, and reusable (fair) resource,.

StarBASE-GP: Biologically-Guided Automated Machine Learning for Genotype-to-Phenotype Association Analysis 2022 updates to the rat genome database: a findable, accessible, interoperable, and reusable (fair) resource,

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:08:17.447896Z

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Observation 0b466411-a22e-4abe-975d-5c9f3ea1aee1 · outbound

This paper cites How introns enhance gene expression,.

StarBASE-GP: Biologically-Guided Automated Machine Learning for Genotype-to-Phenotype Association Analysis How introns enhance gene expression,

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:08:17.254884Z

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Observation 2387cc2b-3620-43b6-8691-e388230e8b93 · outbound

This paper cites Obe- sity and inflammation: the linking mechanism and the complications,.

StarBASE-GP: Biologically-Guided Automated Machine Learning for Genotype-to-Phenotype Association Analysis Obe- sity and inflammation: the linking mechanism and the complications,

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:08:17.068931Z

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Observation 889ccf8d-ef3a-4092-a1c0-46b4f09ba3f8 · outbound

This paper cites Kazrin, a novel periplakin-interacting protein associated with desmosomes and the keratinocyte plasma membrane,.

StarBASE-GP: Biologically-Guided Automated Machine Learning for Genotype-to-Phenotype Association Analysis Kazrin, a novel periplakin-interacting protein associated with desmosomes and the keratinocyte plasma membrane,

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:08:16.865227Z

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Observation 4a9efaf2-9435-46fb-83d5-2f49a46495e2 · outbound

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StarBASE-GP: Biologically-Guided Automated Machine Learning for Genotype-to-Phenotype Association Analysis Desmosomes: new perspectives on a classic,

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:08:16.711575Z

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Observation 2d132a9c-6fc2-4293-84b5-962d154aa87d · outbound

This paper cites Accelerating genetic algorithms with gpu computing: A selective overview,.

StarBASE-GP: Biologically-Guided Automated Machine Learning for Genotype-to-Phenotype Association Analysis Accelerating genetic algorithms with gpu computing: A selective overview,

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:08:16.538911Z

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Observation 427be63a-6210-4403-9330-47dbccacc253 · outbound

This paper cites Multifactor-dimensionality reduction reveals high-order interactions among estrogen-metabolism genes in sporadic breast cancer,.

StarBASE-GP: Biologically-Guided Automated Machine Learning for Genotype-to-Phenotype Association Analysis Multifactor-dimensionality reduction reveals high-order interactions among estrogen-metabolism genes in sporadic breast cancer,

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:08:16.374951Z

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Observation 43e793d6-e33c-4237-9aa9-5ee15e95246c · outbound

This paper cites The alzheimer’s knowledge base: A knowledge graph for alzheimer disease research,.

StarBASE-GP: Biologically-Guided Automated Machine Learning for Genotype-to-Phenotype Association Analysis The alzheimer’s knowledge base: A knowledge graph for alzheimer disease research,

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:08:16.173185Z

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Observation 53249350-dde3-4e48-b3de-bcc4bf80ce1b · outbound

This paper cites Kragen: a knowledge graph-enhanced rag framework for biomedical problem solving using large language models,.

StarBASE-GP: Biologically-Guided Automated Machine Learning for Genotype-to-Phenotype Association Analysis Kragen: a knowledge graph-enhanced rag framework for biomedical problem solving using large language models,

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:08:15.873296Z

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Observation 4a6ec04a-901b-4840-b8d4-4f135765d68f · outbound

This paper cites Escargot: an ai agent leveraging large language models, dynamic graph of thoughts, and biomedical knowledge graphs for enhanced reasoning,.

StarBASE-GP: Biologically-Guided Automated Machine Learning for Genotype-to-Phenotype Association Analysis Escargot: an ai agent leveraging large language models, dynamic graph of thoughts, and biomedical knowledge graphs for enhanced reasoning,

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:08:15.554757Z

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 8a0c1bf1-4ff8-434c-882f-88f1cb24529e · outbound

This paper cites Available: https://doi.org/10.1186/s13040-023-00331-3.

StarBASE-GP: Biologically-Guided Automated Machine Learning for Genotype-to-Phenotype Association Analysis Available: https://doi.org/10.1186/s13040-023-00331-3

Reference 2023

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 0963f5b9-da5a-4a8a-b5b2-3d6ddb4c9064 · outbound

This paper cites Available: https://www.R-project.org/.

StarBASE-GP: Biologically-Guided Automated Machine Learning for Genotype-to-Phenotype Association Analysis Available: https://www.R-project.org/

Reference 2025

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Unavailable: canonical work link unavailable.

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