Wei Li

Molecular Biology · Genome Biology · 2006–2019

A researcher in the Science corpus: 6 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Wei Li trusts overall

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

  1. Gordon K. Smyth
  2. Tim Wang
  3. Mark D. Robinson
  4. Ophir Shalem
  5. Yoav Benjamini
  6. Thomas J. Hardcastle
  7. Minoru Kanehisa
  8. Michael I. Love
  9. Arthur P. Dempster
  10. W. Johnson

Papers from Wei Li's perspective

Ordered by how strongly the researchers Wei Li 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. RNA-Guided Human Genome Engineering via Cas9
  3. edgeR: a Bioconductor package for differential expression analysis of digital gene expression data (Bioinform.)
  4. Linear Models and Empirical Bayes Methods for Assessing Differential Expression in Microarray Experiments (Statistical Applications in Genetics and Molecular Biology)
  5. Normalization of RNA-seq data using factor analysis of control genes or samples (Nature Biotechnology)
  6. baySeq: Empirical Bayesian methods for identifying differential expression in sequence count data (BMC Bioinformatics)
  7. High frequency off-target mutagenesis induced by CRISPR-Cas nucleases in human cells
  8. Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2
  9. Genome-Scale CRISPR-Cas9 Knockout Screening in Human Cells (Science)
  10. A probability-based approach for the analysis of large-scale RNAi screens (Nature Methods)

Their papers