V. Kvam

Molecular Biology · 2012

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom V. Kvam trusts overall

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

  1. Gordon K. Smyth
  2. Mark D. Robinson
  3. Simon Anders
  4. James H. Bullard
  5. Wolfgang Huber
  6. Joseph K. Pickrell
  7. John C. Marioni
  8. Elizabeth Purdom
  9. Kasper D. Hansen

Who trusts V. Kvam overall

  1. N. Davidson
  2. Charlotte Soneson
  3. Andrew D. Fernandes
  4. Franck Rapaport
  5. Alicia Oshlack
  6. Mauro Delorenzi
  7. Jean M. Macklaim

Papers from V. Kvam's perspective

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

  1. Linear Models and Empirical Bayes Methods for Assessing Differential Expression in Microarray Experiments (Statistical Applications in Genetics and Molecular Biology)
  2. Small-sample estimation of negative binomial dispersion, with applications to SAGE data. (Biostatistics)
  3. Moderated statistical tests for assessing differences in tag abundance (Bioinform.)
  4. Understanding mechanisms underlying human gene expression variation with RNA sequencing (Nature)
  5. Evaluation of statistical methods for normalization and differential expression in mRNA-Seq experiments (BMC Bioinformatics)
  6. Ultrafast and memory-efficient alignment of short DNA sequences to the human genome (Genome Biology)
  7. RNA-seq: an assessment of technical reproducibility and comparison with gene expression arrays. (Genome Research)
  8. Mapping and quantifying mammalian transcriptomes by RNA-Seq (Nature Methods)
  9. A scaling normalization method for differential expression analysis of RNA-seq data (Genome Biology)
  10. Differential expression analysis for sequence count data (Genome Biology)

Their papers