Paper · 16632515

Adjusting batch effects in microarray expression data using empirical Bayes methods.

Johnson WE and 2 others. Biostatistics, 2007. Cited by 6,386 papers, by iCite.

11 sourcespapers-2026-11-12-0.1.0

Cite this record

ConductScience Library. Adjusting batch effects in microarray expression data using empirical Bayes methods. Papers, record 16632515. Release papers-2026-11-12-0.1.0, 12 Nov 2026. https://conductscience.org/library/papers/16632515

On this page

Paper

PubMed's record of the paper, with iCite's citation figures. No abstract is shown.

Title: Adjusting batch effects in microarray expression data using empirical Bayes methods.; PubMed
Journal: Biostatistics; PubMed
Year: 2007; PubMed
Publication types: Journal Article, Research Support, N.I.H., Extramural, Research Support, Non-U.S. Gov't; PubMed
PubMed: https://pubmed.ncbi.nlm.nih.gov/16632515/; PubMed
DOI: https://doi.org/10.1093/biostatistics/kxj037; PubMed
The journal: https://conductscience.org/library/journal-index/100897327; PubMed
Citations, by iCite: 6,386; iCite
Relative citation ratio, by iCite: 137; iCite
Revised in PubMed: 2025-06-17; PubMed

Authors3

The authors in the order PubMed's record lists them, with the ORCID iDs it states.

Order	Author	Forename
1	Johnson WE	W Evan
2	Li C	Cheng
3	Rabinovic A	Ariel

Source PubMed

Topics5

NLM's MeSH indexing of the paper, its major topics first.

MeSH term	Major
Bayes Theorem	Major topic
Data Interpretation, Statistical	Major topic
Oligonucleotide Array Sequence Analysis	Major topic
Gene Expression Profiling
Humans

Source PubMed

Grants4

Each grant PubMed's record writes, matched to the NIH project NIH's grant and paper links name for this paper, and each of those links the record does not write.

Grant, as the record writes it	Agency	Country	NIH project	Stated by	Source
R01 HG02341	NHGRI NIH HHS	United States	R01HG002341	PubMed and NIH	NIH RePORTER
R01-CA82737	NCI NIH HHS	United States	R01CA082737	PubMed and NIH	NIH RePORTER
T32-CA09078	NCI NIH HHS	United States	T32CA009078	PubMed and NIH	NIH RePORTER
			T32CA009337	NIH	NIH RePORTER

Trials1

The trials whose ClinicalTrials.gov record lists the paper, and the trial numbers the paper's PubMed record names.

Trial	Title	The trial lists it as	Named in the paper's record
NCT05151718	Multiomic Approach to Radioresistance of Ependymomas in Children and Adolescents	Background

Source ClinicalTrials.gov

Comments and corrections0

PubMed's comments and corrections, NLM's own indexing: retractions first, then expressions of concern, errata and updates, and comments last.

None in this release.

References0

The papers the reference list in PubMed's record names, those in our copy of PubMed, in the list's order.

None in this release.

Cited by5,146

The papers in our copy of PubMed whose reference list names this one, newest first. iCite, which reads more sources, counts 6,386 citations.

PMID	Title	Journal	Year	In Papers	Source
42,989,347	TUDCA was identified as a potential therapeutic drug for nonalcoholic steatohepatitis complicated with hypercholesterolemia targeting ADRA2C by integrated bioinformatics and experimental verification.	Biol Direct	2026	https://conductscience.org/library/papers/42989347	PubMed
42,983,665	Associations between different types of chronic lesions and gray matter atrophy in multiple sclerosis.	BMC Med Imaging	2026	https://conductscience.org/library/papers/42983665	PubMed
42,979,256	Multi-omics in coronary atherosclerosis: mechanistic insights and advances in precision diagnosis and treatment.	Front Endocrinol (Lausanne)	2026	https://conductscience.org/library/papers/42979256	PubMed
42,978,977	Cognitive and brain reserve in bilingual speakers with clinical AD variants.	Alzheimers Dement (Amst)	2026	https://conductscience.org/library/papers/42978977	PubMed
42,965,755	Integration of bioinformatics and machine learning reveals oxidative stress-associated gene signatures and molecular subtypes in myositis.	Clin Rheumatol	2026	https://conductscience.org/library/papers/42965755	PubMed
42,963,087	Rationale and design of the predictive models of beryllium sensitisation and chronic beryllium disease (PROBe): study protocol.	BMJ Open	2026	https://conductscience.org/library/papers/42963087	PubMed
42,958,435	Multikingdom and functional gut microbiota markers for cholangiocarcinoma.	Genome Med	2026	https://conductscience.org/library/papers/42958435	PubMed
42,958,227	Integration of bulk RNA-seq data with single-cell RNA-seq data to identify urinary biomarkers derived from prostate tumor tissues.	BMC Urol	2026	https://conductscience.org/library/papers/42958227	PubMed
42,957,925	TRAIL orchestrates ThINKK-induced NK cell cytotoxicity against childhood acute lymphoblastic leukemia.	Cancer Immunol Immunother	2026	https://conductscience.org/library/papers/42957925	PubMed
42,957,231	Usefulness of Texture Analysis in 11C-Choline PET/CT for Patients With Prostate Cancer.	In Vivo	2026	https://conductscience.org/library/papers/42957231	PubMed

1 to 10 of 5,146

See all 5,146 cited by

Genes0

The genes the Gene search release ties to the paper: Swiss-Prot's references first, then PubTator's text mining.

None in this release.

Drugs0

The drugs whose trials, in the Pipelines release, list the paper.

None in this release.

Data0

The data bank entries PubMed's record names. Trial numbers are under Trials.

None in this release.

Data dates

The date of each source this release read.

PubMed: 2026-11-06; PubMed
iCite: 2026-11-05; iCite
PMC's ID file: 2026-11-05; PMC's ID file
NIH RePORTER's grant and paper links: 2026-11-01; NIH RePORTER's grant and paper links
Trials: 2026-11-12
Gene search: 2026-11-11
Pipelines: 2026-09-18

Sources 11

ChEMBL, through Open TargetsCC BY-SA 3.0
ClinicalTrials.govNo license stated
HGNCCC0
iCiteCC BY 4.0
NCBI GenePublic domain (US government)
NIH RePORTER's grant and paper linksPublic domain
Open TargetsCC0 1.0
PMC's ID filePublic domain (US government)
PubMedNLM's terms
PubTator 3Public domain
UniProtCC BY 4.0

Each source's terms

ChEMBL, through Open TargetsCC BY-SA 3.0, for the parts from ChEMBL. Read on 8 Nov 2026 at https://platform-docs.opentargets.org/licence
ClinicalTrials.govnone stated
HGNCCC0: https://www.genenames.org/about/license/
iCiteCC BY 4.0
NCBI GeneNone named for the file. NCBI says information created by or for the US government on its site is in the public domain, and asks that NLM be acknowledged: https://www.ncbi.nlm.nih.gov/home/about/policies/
NIH RePORTER's grant and paper linksPublic domain (NIH RePORTER)
Open TargetsCC0 1.0. Open Targets asks that users cite its latest paper: Buniello et al. 2025, Open Targets Platform: facilitating therapeutic hypotheses building in drug discovery, Nucleic Acids Research 53(D1):D1467, PMID 39657122. Read on 8 Nov 2026 at https://platform-docs.opentargets.org/licence
PMC's ID fileNone named for the file. NCBI says information created by or for the US government on its site is in the public domain, and asks that NLM be acknowledged: https://www.ncbi.nlm.nih.gov/home/about/policies/
PubMedNLM's terms
PubTator 3Public domain
UniProtCC BY 4.0. UniProt's licence file: "All databases and documents in the UniProt FTP directory may be copied and redistributed freely, without advance permission, provided that this copyright statement is reproduced with each copy." UniProt asks that users cite its latest paper: The UniProt Consortium, UniProt: the Universal Protein Knowledgebase in 2025, Nucleic Acids Research 53:D609-D617, https://doi.org/10.1093/nar/gkae1010. Read on 9 Nov 2026 at https://www.uniprot.org/help/license

ClinicalTrials.gov's data carry an international copyright outside the United States: https://clinicaltrials.gov/about-site/terms-conditions.

For software

Read this paper from software.

The record and each of its lists are JSON, twenty rows a page. No key.

GET https://conductscience.org/api/papers/v1/16632515

GET https://conductscience.org/api/papers/v1/16632515/cited_by?page=2

API reference For AI assistants