J. Humphrey

Molecular Biology · with Barbeira · 2017

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 J. Humphrey trusts overall

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

  1. Henrik Kaessmann

Papers from J. Humphrey's perspective

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

  1. Detecting differential usage of exons from RNA-seq data (Genome Research)
  2. Origins, evolution, and phenotypic impact of new genes. (Genome Research)
  3. RNA splicing is a primary link between genetic variation and disease
  4. Alternative Isoform Regulation in Human Tissue Transcriptomes (Nature)
  5. Generalized Linear Models
  6. Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2
  7. The evolution of gene expression levels in mammalian organs (Nature)
  8. Differential expression analysis of multifactor RNA-Seq experiments with respect to biological variation (Nucleic Acids Research)
  9. Small-sample estimation of negative binomial dispersion, with applications to SAGE data. (Biostatistics)
  10. In silico prediction of protein-protein interactions in human macrophages (BMC Research Notes)

Their papers