Chinmay J. Shukla

Statistics and Probability · 2018

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

Subfields

Whom Chinmay J. Shukla trusts

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

  1. Yoav Benjamini (in Statistics and Probability)

Papers from Chinmay J. Shukla's perspective

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

  1. Controlling the false discovery rate: a practical and powerful approach to multiple testing
  2. From the Cover: Gene set enrichment analysis: A knowledge-based approach for interpreting genome-wide expression profiles
  3. limma powers differential expression analyses for RNA-sequencing and microarray studies
  4. On the Adaptive Control of the False Discovery Rate in Multiple Testing With Independent Statistics
  5. Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2
  6. MAST: a flexible statistical framework for assessing transcriptional changes and characterizing heterogeneity in single-cell RNA sequencing data (Genome Biology)
  7. Discovering the false discovery rate
  8. Multiple Hypothesis Testing in Microarray Experiments
  9. The human transcriptome across tissues and individuals (Science)
  10. PLINK: a tool set for whole-genome association and population-based linkage analyses.

Their papers