Jun Li

Molecular Biology · with Tibshirani · 2012–2013

A researcher in the Science corpus: 2 papers; trusts 25 researchers and is trusted by 12 researchers here, as inferred from the citation graph.

Subfields

Whom Jun Li trusts overall

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

  1. John D. Storey
  2. Mark D. Robinson
  3. Gordon K. Smyth
  4. Yoav Benjamini
  5. Thomas J. Hardcastle
  6. James H. Bullard
  7. Robert Tibshirani
  8. John C. Marioni
  9. Simon Anders
  10. Y. Hochberg

Who trusts Jun Li overall

  1. Charlotte Soneson
  2. Ana Conesa
  3. Sonia Tarazona
  4. Xiaobei Zhou
  5. Fatemeh Seyednasrollah
  6. K. Dannemiller
  7. Minzhe Guo
  8. Andrew D. Fernandes
  9. Ciaran Evans
  10. Byungjin Hwang

Papers from Jun Li's perspective

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

  1. A scaling normalization method for differential expression analysis of RNA-seq data (Genome Biology)
  2. Small-sample estimation of negative binomial dispersion, with applications to SAGE data. (Biostatistics)
  3. Evaluation of statistical methods for normalization and differential expression in mRNA-Seq experiments (BMC Bioinformatics)
  4. Controlling the false discovery rate: a practical and powerful approach to multiple testing
  5. edgeR: a Bioconductor package for differential expression analysis of digital gene expression data (Bioinform.)
  6. Statistical significance for genomewide studies (Proceedings of the National Academy of Sciences of the United States of America)
  7. DEGseq: an R package for identifying differentially expressed genes from RNA-seq data (Bioinform.)
  8. STATISTICAL METHODS FOR IDENTIFYING DIFFERENTIALLY EXPRESSED GENES IN REPLICATED cDNA MICROARRAY EXPERIMENTS
  9. RNA-seq: an assessment of technical reproducibility and comparison with gene expression arrays. (Genome Research)
  10. The positive false discovery rate: a Bayesian interpretation and the q-value

Their papers