Thomas J. Hardcastle

Molecular Biology · 2010

A researcher in the Science corpus: 2 papers; trusts 9 researchers and is trusted by 37 researchers here, as inferred from the citation graph.

Subfields

Whom Thomas J. Hardcastle trusts overall

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

  1. Mark D. Robinson
  2. Gordon K. Smyth
  3. James H. Bullard
  4. Davis J. McCarthy
  5. Stephan C. Schuster
  6. Elaine R. Mardis
  7. Robert Gentleman
  8. Elizabeth Purdom
  9. Sandrine Dudoit
  10. Kasper D. Hansen

Who trusts Thomas J. Hardcastle overall

  1. Davis J. McCarthy
  2. Gordon K. Smyth
  3. Jun Li
  4. Charlotte Soneson
  5. Yang Liao
  6. Simon Anders
  7. Sonia Tarazona
  8. Xiaobei Zhou
  9. Fatemeh Seyednasrollah
  10. Yunshun Chen

Papers from Thomas J. Hardcastle's perspective

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

  1. Moderated statistical tests for assessing differences in tag abundance (Bioinform.)
  2. Small-sample estimation of negative binomial dispersion, with applications to SAGE data. (Biostatistics)
  3. Genome sequencing in microfabricated high-density picolitre reactors (Nature)
  4. Linear Models and Empirical Bayes Methods for Assessing Differential Expression in Microarray Experiments (Statistical Applications in Genetics and Molecular Biology)
  5. [Serial analysis of gene expression]. (Yi chuan = Hereditas)
  6. edgeR: a Bioconductor package for differential expression analysis of digital gene expression data (Bioinform.)
  7. Evaluation of statistical methods for normalization and differential expression in mRNA-Seq experiments (BMC Bioinformatics)
  8. DEGseq: an R package for identifying differentially expressed genes from RNA-seq data (Bioinform.)
  9. Next-generation sequencing transforms today's biology (Nature Methods)
  10. Controlling the false discovery rate: a practical and powerful approach to multiple testing

Their papers