Leslie M. Cope

Molecular Biology · 2003–2018

A researcher in the Science corpus: 23 papers; trusts 2 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

Whom Leslie M. Cope trusts overall

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

  1. Rafael A. Irizarry
  2. Benjamin M. Bolstad
  3. Bridget G. Hobbs
  4. François Collin
  5. Wolfgang Huber

Who trusts Leslie M. Cope overall

  1. Zhijin Wu
  2. Balázs Győrffy
  3. Rafael A. Irizarry
  4. Á. Bartha
  5. Peter Buhlmann
  6. Thomas L. Turner
  7. Paul Geeleher
  8. Peter W Eide
  9. Bruno César Feltes
  10. Jie Tan

Papers from Leslie M. Cope's perspective

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

  1. A comparison of normalization methods for high density oligonucleotide array data based on variance and bias (Bioinform.)
  2. Model-based analysis of oligonucleotide arrays: expression index computation and outlier detection. (Proceedings of the National Academy of Sciences of the United States of America)
  3. Gentleman R: R: A language for data analysis and graphics
  4. Exploration, normalization, and summaries of high density oligonucleotide array probe level data. (Biostatistics)
  5. Model-based analysis of oligonucleotide arrays: model validation, design issues and standard error application (Genome Biology)
  6. Variance stabilization applied to microarray data calibration and to the quantification of differential expression (Intelligent Systems in Molecular Biology)
  7. Gene expression correlates of clinical prostate cancer behavior. (Cancer Cell)
  8. A new non-linear normalization method for reducing variability in DNA microarray experiments (Genome Biology)
  9. Differential DNA Methylation in Purified Human Blood Cells: Implications for Cell Lineage and Studies on Disease Susceptibility (PLoS ONE)
  10. Multi-platform analysis of 12 cancer types reveals molecular classification within and across tissues-of-origin (Cell)

Their papers