H. S. Leong

Molecular Biology · 2015

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

Subfields

Whom H. S. Leong trusts

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

  1. Gordon K. Smyth (in Molecular Biology)
  2. Mark D. Robinson (in Molecular Biology)

Papers from H. S. Leong's perspective

Ordered by how strongly the researchers H. S. Leong 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. Controlling the false discovery rate: a practical and powerful approach to multiple testing
  3. baySeq: Empirical Bayesian methods for identifying differential expression in sequence count data (BMC Bioinformatics)
  4. Bioconductor: open software development for computational biology and bioinformatics (Genome Biology)
  5. From RNA-seq reads to differential expression results (Genome Biology)
  6. Testing significance relative to a fold-change threshold is a TREAT (Bioinform.)
  7. Normalization of RNA-seq data using factor analysis of control genes or samples (Nature Biotechnology)
  8. Differential expression analysis of multifactor RNA-Seq experiments with respect to biological variation (Nucleic Acids Research)
  9. Biases in Illumina transcriptome sequencing caused by random hexamer priming (Nucleic Acids Research)
  10. The Subread aligner: fast, accurate and scalable read mapping by seed-and-vote (Nucleic Acids Research)

Their papers