G. Korotkevich

Molecular Biology · 2016

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom G. Korotkevich trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Belinda Phipson
  2. Stuart G. Jantzen
  3. Matthew E. Ritchie
  4. Lincoln D. Stein
  5. The Walter Belinda Phipson
  6. Ben J. G. Sutherland
  7. Gordon K. Smyth

Papers from G. Korotkevich's perspective

Ordered by how strongly the researchers G. Korotkevich trusts endorse each paper. Same corpus, a different order for every researcher.

  1. limma powers differential expression analyses for RNA-sequencing and microarray studies
  2. Statistical Applications in Genetics and Molecular Biology Permutation P -values Should Never Be Zero: Calculating Exact P -values When Permutations Are Randomly Drawn
  3. DOSE: an R/Bioconductor package for disease ontology semantic and enrichment analysis (Bioinform.)
  4. Reactome: a knowledgebase of biological pathways (Nucleic Acids Res.)
  5. Global mapping of H3K4me3 and H3K27me3 reveals specificity and plasticity in lineage fate determination of differentiating CD4+ T cells. (Immunity)
  6. GO Trimming: Systematically reducing redundancy in large Gene Ontology datasets
  7. Controlling the false discovery rate: a practical and powerful approach to multiple testing
  8. Gene Ontology: tool for the unification of biology
  9. limma: Linear Models for Microarray Data
  10. edgeR: a Bioconductor package for differential expression analysis of digital gene expression data (Bioinform.)

Their papers