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limma powers differential expression analyses for RNA-sequencing and microarray studies

Nucleic Acids Research(2015)10.1093/nar/gkv007Source: DataRank Database

limma powers differential expression analyses for RNA-sequencing and microarray studies is a research paper published in Nucleic Acids Research (2015). On theSindex it has a DataRank of 1.6. It has been cited 42,254 times.

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1.6DataRank · unranked

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Open Access42,254 citations

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Enrichment:Funding (3 grants)OA: goldTopics (20)Linked Datasets (25)DataCite Reuse (25)IDs (PubMed, PMC)Annotations (1)SDGs (2)

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Open Access

Interoperable (2/2)

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DataRank Breakdown

Base Score 100%Citation Network 0%

Base Score Contribution

1.6

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Authors (7)

Belinda Phipson ORCID,Di Wu ORCID,Yifang Hu ORCID,Charity W. Law ORCID,Wei Shi ORCID

Live enrichment

PubMed:25605792 PMC:PMC4402510

National Health and Medical Research Council (NHMRC)

Grant: 1054618

Computational and statistical bioinformatics for medical “omics”

National Health and Medical Research Council (NHMRC)

Grant: 1050661

Statistical methods for next-generation genomics

National Health and Medical Research Council (NHMRC)

Grant: 1023454

Computational and statistical methods for the analysis of RNA-Seq data

goldLicense: cc-by

publisherhttps://academic.oup.com/nar/article-pdf/43/7/e47/7207289/gkv007.pdf

publisherhttp://academic.oup.com/nar/article-pdf/43/7/e47/7207289/gkv007.pdf

repositoryhttps://www.zora.uzh.ch/id/eprint/155268/1/ZORA_NL_155268.pdf

repositoryhttps://figshare.com/articles/journal_contribution/Limma_powers_differential_expression_analyses_for_RNA-sequencing_and_microarray_studies/14036813

repositoryhttp://hdl.handle.net/11343/263365

Fields of Study

0301 basic medicine0303 health sciences03 medical and health sciences

MeSH Terms

Oligonucleotide Array Sequence AnalysisSequence Analysis, RNAGene Expression RegulationSoftware

Keywords

570Sequence Analysis, RNA610610 Medicine & health142-005 142-0051311 GeneticsGene Expression RegulationMethods Online570 Life sciences; biology610 Medicine & healthSoftwareOligonucleotide Array Sequence AnalysisUncategorized

Sustainable Development Goals

SDG 7: 7. Clean energySDG 13: 13. Climate action

Additional file 4 of ESCO2’s oncogenic role in human tumors: a pan-cancer analysis and experimental validation

10.6084/m9.figshare.26705250.v1figshare

Additional file 4 of ESCO2’s oncogenic role in human tumors: a pan-cancer analysis and experimental validation

10.6084/m9.figshare.26705250figshare

Additional file 7 of Mapping three-dimensional intratumor proteomic heterogeneity in uterine serous carcinoma by multiregion microsampling

10.6084/m9.figshare.26671128.v1figshare

Additional file 7 of Mapping three-dimensional intratumor proteomic heterogeneity in uterine serous carcinoma by multiregion microsampling

10.6084/m9.figshare.26671128figshare

Additional file 6 of Mapping three-dimensional intratumor proteomic heterogeneity in uterine serous carcinoma by multiregion microsampling

10.6084/m9.figshare.26671125.v1figshare

Additional file 6 of Mapping three-dimensional intratumor proteomic heterogeneity in uterine serous carcinoma by multiregion microsampling

10.6084/m9.figshare.26671125figshare

Additional file 5 of Mapping three-dimensional intratumor proteomic heterogeneity in uterine serous carcinoma by multiregion microsampling

10.6084/m9.figshare.26671122.v1figshare

Additional file 5 of Mapping three-dimensional intratumor proteomic heterogeneity in uterine serous carcinoma by multiregion microsampling

10.6084/m9.figshare.26671122figshare

Additional file 4 of Mapping three-dimensional intratumor proteomic heterogeneity in uterine serous carcinoma by multiregion microsampling

10.6084/m9.figshare.26671119.v1figshare

Additional file 4 of Mapping three-dimensional intratumor proteomic heterogeneity in uterine serous carcinoma by multiregion microsampling

10.6084/m9.figshare.26671119figshare

Additional file 3 of Mapping three-dimensional intratumor proteomic heterogeneity in uterine serous carcinoma by multiregion microsampling

10.6084/m9.figshare.26671116.v1figshare

Additional file 3 of Mapping three-dimensional intratumor proteomic heterogeneity in uterine serous carcinoma by multiregion microsampling

10.6084/m9.figshare.26671116figshare

Additional file 2 of Mapping three-dimensional intratumor proteomic heterogeneity in uterine serous carcinoma by multiregion microsampling

10.6084/m9.figshare.26671113.v1figshare

Additional file 2 of Mapping three-dimensional intratumor proteomic heterogeneity in uterine serous carcinoma by multiregion microsampling

10.6084/m9.figshare.26671113figshare

Additional file 1 of Mapping three-dimensional intratumor proteomic heterogeneity in uterine serous carcinoma by multiregion microsampling

10.6084/m9.figshare.26671110.v1figshare

Additional file 1 of Mapping three-dimensional intratumor proteomic heterogeneity in uterine serous carcinoma by multiregion microsampling

10.6084/m9.figshare.26671110figshare

Additional file 4 of Genome-wide neonatal epigenetic changes associated with maternal exposure to the COVID-19 pandemic

10.6084/m9.figshare.26633748.v1figshare

Additional file 4 of Genome-wide neonatal epigenetic changes associated with maternal exposure to the COVID-19 pandemic

10.6084/m9.figshare.26633748figshare

Additional file 3 of Genome-wide neonatal epigenetic changes associated with maternal exposure to the COVID-19 pandemic

10.6084/m9.figshare.26633745.v1figshare

Additional file 3 of Genome-wide neonatal epigenetic changes associated with maternal exposure to the COVID-19 pandemic

10.6084/m9.figshare.26633745figshare

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limma powers differential expression analyses for RNA-sequencing and microarray studies

FAIR Checklist

DataRank Breakdown

Authors (7)

Funding (3 grants)

Open Access

Topics

Linked Datasets (25)

Annotations (Europe PMC)

Related Papers (10)