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Paper Citation Record · LEDGER

High-dimensional Statistics Applications to Batch Effects in Metabolomics

As of 12 August 2026, this Paper Citation Record lists 46 of 46 outbound references and 0 inbound Pith citation observations for arXiv:2412.10196.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2412.10196 v1

Coverage vector

measured 46 of 46 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T16:17:30.085487Z

measured 46 of 46 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

46 of 46 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 47ddc7a1-49ca-47cf-899e-23e758c246bf · outbound

This paper cites Quality assur- ance procedures for mass spectrometry untargeted metabolomics.

High-dimensional Statistics Applications to Batch Effects in Metabolomics Quality assur- ance procedures for mass spectrometry untargeted metabolomics

Reference 1

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Observation 12f7e5a7-d92c-4630-be5e-858c517c970a · outbound

This paper cites Evaluating and minimizing batch effects in metabolomics.

High-dimensional Statistics Applications to Batch Effects in Metabolomics Evaluating and minimizing batch effects in metabolomics

Reference 2

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Observation 35b3652c-8280-4463-867b-81d11b184e72 · outbound

This paper cites Instrumental Drift in Untargeted Metabolomics: Optimizing Data Quality with Intrastudy QC Samples.

High-dimensional Statistics Applications to Batch Effects in Metabolomics Instrumental Drift in Untargeted Metabolomics: Optimizing Data Quality with Intrastudy QC Samples

Reference 3

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Observation 13b54910-c565-4c23-859d-4648f39a57fb · outbound

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High-dimensional Statistics Applications to Batch Effects in Metabolomics Unresolved cited work

Reference 4

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Source-reported events for the cited work

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Observation ae0852cc-dd26-41cb-88b7-12ddfe78d5c6 · outbound

This paper cites N.; Kuligowski, J.; Wilson, I.

High-dimensional Statistics Applications to Batch Effects in Metabolomics N.; Kuligowski, J.; Wilson, I

Reference 5

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Observation 8d262174-d561-4690-9ba8-a3ff7285d085 · outbound

This paper cites Analytical Er- ror Reduction Using Single Point Calibration for Accurate and Precise Metabolomic Phenotyping.Journal of Proteome Research2009, 8, 5132-.

High-dimensional Statistics Applications to Batch Effects in Metabolomics Analytical Er- ror Reduction Using Single Point Calibration for Accurate and Precise Metabolomic Phenotyping.Journal of Proteome Research2009, 8, 5132-

Reference 6

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Observation 93cbe525-a749-47df-9e8b-1f19da6751f3 · outbound

This paper cites A.; Ebbels, T.

High-dimensional Statistics Applications to Batch Effects in Metabolomics A.; Ebbels, T

Reference 7

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Observation 25e3a30c-dd61-43fb-a703-e862e32bad80 · outbound

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High-dimensional Statistics Applications to Batch Effects in Metabolomics Unresolved cited work

Reference 8

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This paper cites B.; Broadhurst, D.; Begley, P.; Zelena, E.; Francis-McIntyre, S.; Anderson, N.; Brown, M.; Knowles, J.

High-dimensional Statistics Applications to Batch Effects in Metabolomics B.; Broadhurst, D.; Begley, P.; Zelena, E.; Francis-McIntyre, S.; Anderson, N.; Brown, M.; Knowles, J

Reference 9

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Observation ca6977a3-d85f-438a-b6c4-164658c4568d · outbound

This paper cites A.; Broadhurst, D.

High-dimensional Statistics Applications to Batch Effects in Metabolomics A.; Broadhurst, D

Reference 10

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Observation 40bdc112-e359-4d05-a5bc-0e8df2a50d26 · outbound

This paper cites Intra-batch effect correction in liquid chromatography-mass spectrometry using quality control samples and support vector regression (QC-SVRC).

High-dimensional Statistics Applications to Batch Effects in Metabolomics Intra-batch effect correction in liquid chromatography-mass spectrometry using quality control samples and support vector regression (QC-SVRC)

Reference 11

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Observation 63cf47f8-1474-4600-9dc8-24be0891cc24 · outbound

This paper cites Normalization and integration of large-scale metabolomics data using support vector regression.Metabolomics 2016, 12 (5).

High-dimensional Statistics Applications to Batch Effects in Metabolomics Normalization and integration of large-scale metabolomics data using support vector regression.Metabolomics 2016, 12 (5)

Reference 12

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Observation 2338692c-8448-4230-b306-8889c482ced7 · outbound

This paper cites Norm ISWSVR: A Data Integration and Normalization Approach for Large- Scale Metabolomics.Analytical Chemistry 2022, 94 (21), 7500-7509.

High-dimensional Statistics Applications to Batch Effects in Metabolomics Norm ISWSVR: A Data Integration and Normalization Approach for Large- Scale Metabolomics.Analytical Chemistry 2022, 94 (21), 7500-7509

Reference 13

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Observation 5afa7e2a-2bfc-43f4-aba2-57a79ff4bf18 · outbound

This paper cites statTarget: A streamlined tool for signal drift correction and interpretations of quantitative mass spectrometry- based omics data.

High-dimensional Statistics Applications to Batch Effects in Metabolomics statTarget: A streamlined tool for signal drift correction and interpretations of quantitative mass spectrometry- based omics data

Reference 14

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Observation 1fb590b5-db13-456e-959b-13248ffe81e0 · outbound

This paper cites L.; Tang, W.

High-dimensional Statistics Applications to Batch Effects in Metabolomics L.; Tang, W

Reference 15

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Observation 10439610-bcd4-4294-b1ae-e728bcf41ab4 · outbound

This paper cites TIGER: technical variation elimination for metabolomics data using ensemble learning architecture.

High-dimensional Statistics Applications to Batch Effects in Metabolomics TIGER: technical variation elimination for metabolomics data using ensemble learning architecture

Reference 16

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Source-reported events for the cited work

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High-dimensional Statistics Applications to Batch Effects in Metabolomics Unresolved cited work

Reference 17

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Observation 93a49e1f-bba5-442b-94dc-e3969a19fdac · outbound

This paper cites A Comparative Analysis of XGBoost.

High-dimensional Statistics Applications to Batch Effects in Metabolomics A Comparative Analysis of XGBoost

Reference 18

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This paper cites D.; Sanjuan-Herráez, J.

High-dimensional Statistics Applications to Batch Effects in Metabolomics D.; Sanjuan-Herráez, J

Reference 19

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Observation 88bf4195-c3f6-4d84-90b5-cab74027c254 · outbound

This paper cites R.; Chu, T.

High-dimensional Statistics Applications to Batch Effects in Metabolomics R.; Chu, T

Reference 20

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This paper cites M.; Kennedy, M.

High-dimensional Statistics Applications to Batch Effects in Metabolomics M.; Kennedy, M

Reference 21

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verified exact
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This paper cites E.; Archer, K.

High-dimensional Statistics Applications to Batch Effects in Metabolomics E.; Archer, K

Reference 22

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This paper cites Correcting batch effects in large-scale multiomics studies using a reference-material-based ratio method.Genome Biology 2023, 24 (1), 201.

High-dimensional Statistics Applications to Batch Effects in Metabolomics Correcting batch effects in large-scale multiomics studies using a reference-material-based ratio method.Genome Biology 2023, 24 (1), 201

Reference 23

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Observation 7a1e16da-0c72-44df-a105-ff05b31acc2d · outbound

This paper cites C.; Christensen, W.

High-dimensional Statistics Applications to Batch Effects in Metabolomics C.; Christensen, W

Reference 24

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Observation cf1a681b-52c2-4d0d-9a9c-adb800755c32 · outbound

This paper cites A review of 20 years of naive tests of significance for high-dimensional mean vectors and covariance matrices.Science China Mathematics 2016, 59 (12), 2281-2300.

High-dimensional Statistics Applications to Batch Effects in Metabolomics A review of 20 years of naive tests of significance for high-dimensional mean vectors and covariance matrices.Science China Mathematics 2016, 59 (12), 2281-2300

Reference 25

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This paper cites X.; Qin, Y.-L.

High-dimensional Statistics Applications to Batch Effects in Metabolomics X.; Qin, Y.-L

Reference 26

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High-dimensional Statistics Applications to Batch Effects in Metabolomics Unresolved cited work

Reference 27

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This paper cites A simultaneous testing of the mean vector and the covariance matrix among two populations for high-dimensional data.

High-dimensional Statistics Applications to Batch Effects in Metabolomics A simultaneous testing of the mean vector and the covariance matrix among two populations for high-dimensional data

Reference 28

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Observation 912f3a8f-3d43-47ad-8e45-9fd684a03dd6 · outbound

This paper cites an unresolved cited work.

High-dimensional Statistics Applications to Batch Effects in Metabolomics Unresolved cited work

Reference 29

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Observation 7fc0b6c9-6c57-44da-81fe-2aa68fb5b8f5 · outbound

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High-dimensional Statistics Applications to Batch Effects in Metabolomics Unresolved cited work

Reference 30

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Observation 29692492-fd3f-40cd-a5d1-fb63501c99c3 · outbound

This paper cites A data preprocessing strategy for metabolomics to reduce the mask effect in data analysis.Frontiers in Molecular Biosciences 2015, 2, 4.

High-dimensional Statistics Applications to Batch Effects in Metabolomics A data preprocessing strategy for metabolomics to reduce the mask effect in data analysis.Frontiers in Molecular Biosciences 2015, 2, 4

Reference 31

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Observation e80b7551-20fe-44d1-980d-021dde916a9f · outbound

This paper cites J.; Buhlmann, P.

High-dimensional Statistics Applications to Batch Effects in Metabolomics J.; Buhlmann, P

Reference 32

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Observation 2f202026-5c6b-4e4c-a33e-227c7f129415 · outbound

This paper cites Multivariate process and quality monitoring applied to an electrolysis process Part I.

High-dimensional Statistics Applications to Batch Effects in Metabolomics Multivariate process and quality monitoring applied to an electrolysis process Part I

Reference 33

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Observation 72fce1cd-7ed3-40c6-b034-f84c9818be06 · outbound

This paper cites J.; Correia, G.

High-dimensional Statistics Applications to Batch Effects in Metabolomics J.; Correia, G

Reference 34

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Observation db140f19-8476-4d61-8cf1-f542eff2d60e · outbound

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High-dimensional Statistics Applications to Batch Effects in Metabolomics Unresolved cited work

Reference 35

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This paper cites T.; Kott, K.

High-dimensional Statistics Applications to Batch Effects in Metabolomics T.; Kott, K

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This paper cites Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing.Journal of the Royal Statistical Society.

High-dimensional Statistics Applications to Batch Effects in Metabolomics Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing.Journal of the Royal Statistical Society

Reference 37

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This paper cites Sparse inverse covariance esti- mation with the graphical lasso.Biostatistics 2008, 9 (3), 432-441.

High-dimensional Statistics Applications to Batch Effects in Metabolomics Sparse inverse covariance esti- mation with the graphical lasso.Biostatistics 2008, 9 (3), 432-441

Reference 38

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This paper cites N.; Peeters, C.

High-dimensional Statistics Applications to Batch Effects in Metabolomics N.; Peeters, C

Reference 39

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This paper cites O.; Kemppainen, J.

High-dimensional Statistics Applications to Batch Effects in Metabolomics O.; Kemppainen, J

Reference 40

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This paper cites Graphical Elastic Net and Target Matrices: Fast Algorithms and Software for Sparse Precision Matrix Estimation.

High-dimensional Statistics Applications to Batch Effects in Metabolomics Graphical Elastic Net and Target Matrices: Fast Algorithms and Software for Sparse Precision Matrix Estimation

Reference 41

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This paper cites High-Dimensional Precision Matrix Estimation through GSOS with Application in the Foreign Exchange Market.

High-dimensional Statistics Applications to Batch Effects in Metabolomics High-Dimensional Precision Matrix Estimation through GSOS with Application in the Foreign Exchange Market

Reference 42

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This paper cites A Computational Note on the Graphical Ridge in High-dimension.

High-dimensional Statistics Applications to Batch Effects in Metabolomics A Computational Note on the Graphical Ridge in High-dimension

Reference 43

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This paper cites Concordance-Based Batch Effect Correction for Large-Scale Metabolomics.

High-dimensional Statistics Applications to Batch Effects in Metabolomics Concordance-Based Batch Effect Correction for Large-Scale Metabolomics

Reference 44

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verified exact
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This paper cites H.; Snipen, L.; Sæbø, S.

High-dimensional Statistics Applications to Batch Effects in Metabolomics H.; Snipen, L.; Sæbø, S

Reference 45

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This paper cites an unresolved cited work.

High-dimensional Statistics Applications to Batch Effects in Metabolomics Unresolved cited work

Reference 5141

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Pith citing papers

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