Franck Rapaport

Molecular Biology · 2013–2020

A researcher in the Science corpus: 3 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Franck Rapaport trusts overall

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

  1. Gordon K. Smyth
  2. Mark D. Robinson
  3. Maqc Consortium
  4. Thomas J. Hardcastle
  5. Zhong Wang
  6. V. Kvam
  7. Charity W. Law
  8. Ali Mortazavi
  9. Davis J. McCarthy
  10. Jun Li

Who trusts Franck Rapaport overall

  1. Yang Liao
  2. Ciaran Evans
  3. Hugo Varet
  4. Gordon K. Smyth

Papers from Franck Rapaport's perspective

Ordered by how strongly the researchers Franck Rapaport 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. edgeR: a Bioconductor package for differential expression analysis of digital gene expression data (Bioinform.)
  3. Moderated statistical tests for assessing differences in tag abundance (Bioinform.)
  4. Evaluation of statistical methods for normalization and differential expression in mRNA-Seq experiments (BMC Bioinformatics)
  5. Mapping and quantifying mammalian transcriptomes by RNA-Seq (Nature Methods)
  6. Linear Models and Empirical Bayes Methods for Assessing Differential Expression in Microarray Experiments (Statistical Applications in Genetics and Molecular Biology)
  7. baySeq: Empirical Bayesian methods for identifying differential expression in sequence count data (BMC Bioinformatics)
  8. RNA-Seq: a revolutionary tool for transcriptomics (Nature reviews genetics)
  9. Detecting differential usage of exons from RNA-seq data (Genome Research)
  10. Spontaneous mapping of number and space in adults and young children (Cognition)

Their papers