Belinda Phipson

Molecular Biology · 2010–2017

A researcher in the Science corpus: 6 papers; trusts 31 researchers and is trusted by 23 researchers here, as inferred from the citation graph.

Subfields

Whom Belinda Phipson trusts overall

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

  1. Gordon K. Smyth
  2. Davis J. McCarthy
  3. Mark D. Robinson
  4. Aaron T. L. Lun
  5. Carl N. Morris
  6. Andrew P. Robinson
  7. William S. Cleveland
  8. Charity W. Law
  9. Bradley Efron
  10. Yoav Benjamini

Who trusts Belinda Phipson overall

  1. Yunshun Chen
  2. Aaron T. L. Lun
  3. Gordon K. Smyth
  4. G. Korotkevich
  5. Malte D. Luecken
  6. Diabetes-Ling Wu
  7. Jean-Philippe Fortin
  8. S. Peschel
  9. Yonatan Oren
  10. Halit Ongen

Papers from Belinda Phipson's perspective

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

  1. Controlling the false discovery rate: a practical and powerful approach to multiple testing
  2. A scaling normalization method for differential expression analysis of RNA-seq data (Genome Biology)
  3. Linear Models and Empirical Bayes Methods for Assessing Differential Expression in Microarray Experiments (Statistical Applications in Genetics and Molecular Biology)
  4. edgeR: a Bioconductor package for differential expression analysis of digital gene expression data (Bioinform.)
  5. HTSeq—a Python framework to work with high-throughput sequencing data (bioRxiv)
  6. Testing significance relative to a fold-change threshold is a TREAT (Bioinform.)
  7. Understanding mechanisms underlying human gene expression variation with RNA sequencing (Nature)
  8. Gene Ontology: tool for the unification of biology
  9. Removing technical variability in RNA-seq data using conditional quantile normalization (Biostatistics)
  10. A comparison of normalization methods for high density oligonucleotide array data based on variance and bias (Bioinform.)

Their papers