Tensor Network based Gene Regulatory Network Inference for Single-Cell Transcriptomic Data | Paper Citation Record

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Tensor Network based Gene Regulatory Network Inference for Single-Cell Transcriptomic Data Unresolved cited work

Reference 1

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This paper cites •Themiddle environmentM, which contains the tensorsA il1 andA il2 along with their indices.

Tensor Network based Gene Regulatory Network Inference for Single-Cell Transcriptomic Data •Themiddle environmentM, which contains the tensorsA il1 andA il2 along with their indices

Reference 2

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This paper cites All biology is computational biology,.

Tensor Network based Gene Regulatory Network Inference for Single-Cell Transcriptomic Data All biology is computational biology,

Reference 3

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This paper cites Systems biology in the context of big data and networks,.

Tensor Network based Gene Regulatory Network Inference for Single-Cell Transcriptomic Data Systems biology in the context of big data and networks,

Reference 4

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This paper cites The human genome project: lessons from large-scale biology,.

Tensor Network based Gene Regulatory Network Inference for Single-Cell Transcriptomic Data The human genome project: lessons from large-scale biology,

Reference 5

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This paper cites Next-generation dna sequencing meth- ods,.

Tensor Network based Gene Regulatory Network Inference for Single-Cell Transcriptomic Data Next-generation dna sequencing meth- ods,

Reference 6

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This paper cites Profiling the hela s3 transcriptome using randomly primed cdna and massively parallel short-read sequencing,.

Tensor Network based Gene Regulatory Network Inference for Single-Cell Transcriptomic Data Profiling the hela s3 transcriptome using randomly primed cdna and massively parallel short-read sequencing,

Reference 7

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This paper cites Rna-seq: a revolutionary tool for transcriptomics,.

Tensor Network based Gene Regulatory Network Inference for Single-Cell Transcriptomic Data Rna-seq: a revolutionary tool for transcriptomics,

Reference 8

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This paper cites Using Bayesian networks to analyze expression data,.

Tensor Network based Gene Regulatory Network Inference for Single-Cell Transcriptomic Data Using Bayesian networks to analyze expression data,

Reference 9

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This paper cites Aracne: an algorithm for the reconstruction of gene regulatory networks in a mammalian cellular context,.

Tensor Network based Gene Regulatory Network Inference for Single-Cell Transcriptomic Data Aracne: an algorithm for the reconstruction of gene regulatory networks in a mammalian cellular context,

Reference 10

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Observation c9ee261b-7a42-4f20-8d0c-146b32edfe97 · outbound

This paper cites Large-scale mapping and validation of escherichia coli transcriptional regulation from a compendium of expression profiles,.

Tensor Network based Gene Regulatory Network Inference for Single-Cell Transcriptomic Data Large-scale mapping and validation of escherichia coli transcriptional regulation from a compendium of expression profiles,

Reference 11

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This paper cites Tigress: trustful inference of gene regulation using stability selection,.

Tensor Network based Gene Regulatory Network Inference for Single-Cell Transcriptomic Data Tigress: trustful inference of gene regulation using stability selection,

Reference 12

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This paper cites A general framework for weighted gene co-expression network analysis,.

Tensor Network based Gene Regulatory Network Inference for Single-Cell Transcriptomic Data A general framework for weighted gene co-expression network analysis,

Reference 13

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This paper cites Mutual information relevance networks: functional genomic clustering using pairwise entropy measurements,.

Tensor Network based Gene Regulatory Network Inference for Single-Cell Transcriptomic Data Mutual information relevance networks: functional genomic clustering using pairwise entropy measurements,

Reference 14

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This paper cites Multiple linear regression for reconstruction of gene regulatory networks in solving cascade error problems,.

Tensor Network based Gene Regulatory Network Inference for Single-Cell Transcriptomic Data Multiple linear regression for reconstruction of gene regulatory networks in solving cascade error problems,

Reference 16

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This paper cites Inference of large-scale gene regulatory networks using regression-based network approach,.

Tensor Network based Gene Regulatory Network Inference for Single-Cell Transcriptomic Data Inference of large-scale gene regulatory networks using regression-based network approach,

Reference 17

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Observation fda9f01b-ee77-4e29-bcc3-62f3a13d09e1 · outbound

This paper cites An empirical bayes approach to inferring large-scale gene association networks,.

Tensor Network based Gene Regulatory Network Inference for Single-Cell Transcriptomic Data An empirical bayes approach to inferring large-scale gene association networks,

Reference 18

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This paper cites Relationships between probabilistic Boolean networks and dynamic Bayesian networks as models of gene regulatory networks,.

Tensor Network based Gene Regulatory Network Inference for Single-Cell Transcriptomic Data Relationships between probabilistic Boolean networks and dynamic Bayesian networks as models of gene regulatory networks,

Reference 19

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This paper cites Probabilistic Boolean networks: a rule-based uncer- tainty model for gene regulatory networks,.

Tensor Network based Gene Regulatory Network Inference for Single-Cell Transcriptomic Data Probabilistic Boolean networks: a rule-based uncer- tainty model for gene regulatory networks,

Reference 20

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This paper cites Network inference and biological dynamics,.

Tensor Network based Gene Regulatory Network Inference for Single-Cell Transcriptomic Data Network inference and biological dynamics,

Reference 21

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This paper cites On reverse engineering of gene interaction networks using time course data with repeated measurements,.

Tensor Network based Gene Regulatory Network Inference for Single-Cell Transcriptomic Data On reverse engineering of gene interaction networks using time course data with repeated measurements,

Reference 22

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Observation a73fb546-1e6e-4560-bb36-9b1f3a84c3a5 · outbound

This paper cites Evaluating methods of inferring gene regulatory networks highlights their lack of performance for single cell gene expression data,.

Tensor Network based Gene Regulatory Network Inference for Single-Cell Transcriptomic Data Evaluating methods of inferring gene regulatory networks highlights their lack of performance for single cell gene expression data,

Reference 23

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Observation a7afed3e-bfc2-4b0e-a3ab-3a4dc5dcfe60 · outbound

This paper cites Benchmarking algorithms for gene regulatory network inference from single-cell transcriptomic data,.

Tensor Network based Gene Regulatory Network Inference for Single-Cell Transcriptomic Data Benchmarking algorithms for gene regulatory network inference from single-cell transcriptomic data,

Reference 24

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Tensor Network based Gene Regulatory Network Inference for Single-Cell Transcriptomic Data Gaining confidence in inferred networks,

Reference 25

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This paper cites Quantum gene regulatory networks,.

Tensor Network based Gene Regulatory Network Inference for Single-Cell Transcriptomic Data Quantum gene regulatory networks,

Reference 26

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Tensor Network based Gene Regulatory Network Inference for Single-Cell Transcriptomic Data Renormalization and 11 tensor product states in spin chains and lattices,

Reference 27

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Tensor Network based Gene Regulatory Network Inference for Single-Cell Transcriptomic Data The density-matrix renormalization group in the age of matrix product states,

Reference 28

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Tensor Network based Gene Regulatory Network Inference for Single-Cell Transcriptomic Data Tensor networks for complex quantum systems,

Reference 29

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Tensor Network based Gene Regulatory Network Inference for Single-Cell Transcriptomic Data Tensor networks enable the calculation of turbulence probability distributions,

Reference 30

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Tensor Network based Gene Regulatory Network Inference for Single-Cell Transcriptomic Data Tensor networks in machine learning,

Reference 31

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Tensor Network based Gene Regulatory Network Inference for Single-Cell Transcriptomic Data Matrix Product State Representations

Reference 32

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Tensor Network based Gene Regulatory Network Inference for Single-Cell Transcriptomic Data Tensor Networks Meet Neural Networks: A Survey and Future Perspectives

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This paper cites Robust, synergistic regulation of human gene expression using tale activators,.

Tensor Network based Gene Regulatory Network Inference for Single-Cell Transcriptomic Data Robust, synergistic regulation of human gene expression using tale activators,

Reference 34

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Tensor Network based Gene Regulatory Network Inference for Single-Cell Transcriptomic Data Finite mixture models,

Reference 35

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Tensor Network based Gene Regulatory Network Inference for Single-Cell Transcriptomic Data Matrix product states and pro- jected entangled pair states: Concepts, sym- metries, theorems,

Reference 36

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Tensor Network based Gene Regulatory Network Inference for Single-Cell Transcriptomic Data Density matrix renormalization group algorithms with a single center site,

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Tensor Network based Gene Regulatory Network Inference for Single-Cell Transcriptomic Data Wisdom of crowds for robust gene network inference,

Reference 38

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Tensor Network based Gene Regulatory Network Inference for Single-Cell Transcriptomic Data Hilbert curve vs hilbert space: exploiting fractal 2d covering to increase tensor network efficiency,

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Tensor Network based Gene Regulatory Network Inference for Single-Cell Transcriptomic Data Gene expression omnibus: NCBI gene expression and hybridization array data repository,

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Tensor Network based Gene Regulatory Network Inference for Single-Cell Transcriptomic Data A novel independence test for somatic alterations in cancer shows that biology drives mutual exclusivity but chance ex- plains most co-occurrence,

Reference 42

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Tensor Network based Gene Regulatory Network Inference for Single-Cell Transcriptomic Data Mutual exclusivity analysis identifies oncogenic network modules,

Reference 43

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This paper cites An incoherent regulatory network architecture that orchestrates b cell diversification in re- sponse to antigen signaling,.

Tensor Network based Gene Regulatory Network Inference for Single-Cell Transcriptomic Data An incoherent regulatory network architecture that orchestrates b cell diversification in re- sponse to antigen signaling,

Reference 44

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Tensor Network based Gene Regulatory Network Inference for Single-Cell Transcriptomic Data The Bayesian information criterion: background, derivation, and applications,

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This paper cites A regulatory cir- cuit controlling the dynamics of nfκb crel transitions b cellsfromproliferationtoplasmacelldifferentiation,.

Tensor Network based Gene Regulatory Network Inference for Single-Cell Transcriptomic Data A regulatory cir- cuit controlling the dynamics of nfκb crel transitions b cellsfromproliferationtoplasmacelldifferentiation,

Reference 46

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This paper cites Prdm1/blimp1: a tumor suppressor gene in b and t cell lymphomas,.

Tensor Network based Gene Regulatory Network Inference for Single-Cell Transcriptomic Data Prdm1/blimp1: a tumor suppressor gene in b and t cell lymphomas,

Reference 47

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This paper cites Identification of a ubiquitously active pro- moter of the murine activation-induced cytidine deami- nase (aicda) gene,.

Tensor Network based Gene Regulatory Network Inference for Single-Cell Transcriptomic Data Identification of a ubiquitously active pro- moter of the murine activation-induced cytidine deami- nase (aicda) gene,

Reference 48

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This paper cites The balance between pax5 and id2 activities is the key to aid gene expression,.

Tensor Network based Gene Regulatory Network Inference for Single-Cell Transcriptomic Data The balance between pax5 and id2 activities is the key to aid gene expression,

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Tensor Network based Gene Regulatory Network Inference for Single-Cell Transcriptomic Data The anti-apoptotic activities ofrel and relarequired during b-cell maturation 12 involve the regulation of bcl-2 expression,

Reference 50

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Tensor Network based Gene Regulatory Network Inference for Single-Cell Transcriptomic Data Loss of pax5 promotes plasma cell differentiation,

Reference 51

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This paper cites The dynamic functions of irf4 in b cell malignancies,.

Tensor Network based Gene Regulatory Network Inference for Single-Cell Transcriptomic Data The dynamic functions of irf4 in b cell malignancies,

Reference 52

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This paper cites Differential requirements for the canonical nf-κb transcription factors c-rel and rela during the generation and activation of mature b cells,.

Tensor Network based Gene Regulatory Network Inference for Single-Cell Transcriptomic Data Differential requirements for the canonical nf-κb transcription factors c-rel and rela during the generation and activation of mature b cells,

Reference 53

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This paper cites Direct repression of prdm1 by bcl-6 inhibits plasmacytic differentiation,.

Tensor Network based Gene Regulatory Network Inference for Single-Cell Transcriptomic Data Direct repression of prdm1 by bcl-6 inhibits plasmacytic differentiation,

Reference 54

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This paper cites Pax5–a critical inhibitor of plasma cell fate,.

Tensor Network based Gene Regulatory Network Inference for Single-Cell Transcriptomic Data Pax5–a critical inhibitor of plasma cell fate,

Reference 55

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This paper cites Error mitigation extends the computational reach of a noisy quantum processor,.

Tensor Network based Gene Regulatory Network Inference for Single-Cell Transcriptomic Data Error mitigation extends the computational reach of a noisy quantum processor,

Reference 56

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Observation 77cd4d71-490a-4567-a764-eb6a850a35d7 · outbound

This paper cites Graded expression of interferon regulatory factor-4 coordinates isotype switching with plasma cell differentiation,.

Tensor Network based Gene Regulatory Network Inference for Single-Cell Transcriptomic Data Graded expression of interferon regulatory factor-4 coordinates isotype switching with plasma cell differentiation,

Reference 57

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This paper cites Quantum computing in the nisq era and be- yond,.

Tensor Network based Gene Regulatory Network Inference for Single-Cell Transcriptomic Data Quantum computing in the nisq era and be- yond,

Reference 58

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This paper cites The genetic network controlling plasma cell differentiation,.

Tensor Network based Gene Regulatory Network Inference for Single-Cell Transcriptomic Data The genetic network controlling plasma cell differentiation,

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:20:36.277075Z

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Observation a94c2291-4792-4711-b294-95cd5495ad93 · outbound

This paper cites Noise-adaptive compiler mappings for noisy intermediate-scale quantum computers,.

Tensor Network based Gene Regulatory Network Inference for Single-Cell Transcriptomic Data Noise-adaptive compiler mappings for noisy intermediate-scale quantum computers,

Reference 60

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This paper cites Performance of surface codes in realistic quantum hardware,.

Tensor Network based Gene Regulatory Network Inference for Single-Cell Transcriptomic Data Performance of surface codes in realistic quantum hardware,

Reference 61

Resolution: verified exact; doi, observed 2026-08-15T16:20:35.529554Z

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Observation 27d30c5c-7e18-4825-85c1-2b592fd1b8db · outbound

This paper cites Barren plateaus in quantum neural network training landscapes,.

Tensor Network based Gene Regulatory Network Inference for Single-Cell Transcriptomic Data Barren plateaus in quantum neural network training landscapes,

Reference 62

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Observation f6eace2c-223d-4524-b2f2-1a523b96e83d · outbound

This paper cites Noise-induced barren plateaus in variational quantum algorithms,.

Tensor Network based Gene Regulatory Network Inference for Single-Cell Transcriptomic Data Noise-induced barren plateaus in variational quantum algorithms,

Reference 63

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This paper cites Connecting ansatz expressibility to gradient magnitudes and barren plateaus,.

Tensor Network based Gene Regulatory Network Inference for Single-Cell Transcriptomic Data Connecting ansatz expressibility to gradient magnitudes and barren plateaus,

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-15T16:20:35.430497Z

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This paper cites Quantifying the effect of gate errors on variational quantum eigensolvers for quantum chemistry,.

Tensor Network based Gene Regulatory Network Inference for Single-Cell Transcriptomic Data Quantifying the effect of gate errors on variational quantum eigensolvers for quantum chemistry,

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:20:36.246876Z

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Observation 9a9fdab1-05ff-48e1-84d7-2d7b27ef2321 · outbound

This paper cites Nonnegative Decomposition of Multivariate Information.

Tensor Network based Gene Regulatory Network Inference for Single-Cell Transcriptomic Data Nonnegative Decomposition of Multivariate Information

Reference 66

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Observation 669a8b52-237e-474f-812f-4ebef226a2ae · outbound

This paper cites Cost function dependent barren plateaus in shallow parametrized quantum circuits,.

Tensor Network based Gene Regulatory Network Inference for Single-Cell Transcriptomic Data Cost function dependent barren plateaus in shallow parametrized quantum circuits,

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-15T16:20:35.426484Z

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Observation ccc7d4d6-550a-4051-81fd-0b729aa2b72c · outbound

This paper cites Encoding of matrix product states into quantum circuits of one- and two-qubit gates,.

Tensor Network based Gene Regulatory Network Inference for Single-Cell Transcriptomic Data Encoding of matrix product states into quantum circuits of one- and two-qubit gates,

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-15T16:20:35.434508Z

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This paper cites Available: https://doi.org/10.1016/j.

Tensor Network based Gene Regulatory Network Inference for Single-Cell Transcriptomic Data Available: https://doi.org/10.1016/j

Reference 2006

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Tensor Network based Gene Regulatory Network Inference for Single-Cell Transcriptomic Data Tensor networks in machine learning

Reference 2022

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