Keith A. Baggerly

Molecular Biology · 2002–2014

A researcher in the Science corpus: 13 papers; trusts 2 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Keith A. Baggerly trusts overall

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

  1. Friedrich Leisch
  2. John H. Holland
  3. David E. Goldberg
  4. Paul H. C. Eilers

Who trusts Keith A. Baggerly overall

  1. G. Di Leo
  2. Jeffrey S. Morris
  3. Johan Rung
  4. Francesco Sardanelli
  5. Kevin R. Coombes
  6. David Broadhurst
  7. Alvis Brazma
  8. Robert Gentleman

Papers from Keith A. Baggerly's perspective

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

  1. Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence
  2. The Elements of Statistical Learning
  3. Sweave: Dynamic Generation of Statistical Reports Using Literate Data Analysis (International Conference on Computational Statistics)
  4. Genetic Algorithms in Search Optimization and Machine Learning
  5. Repeated observation of breast tumor subtypes in independent gene expression data sets (Proceedings of the National Academy of Sciences of the United States of America)
  6. Molecular portraits of human breast tumours (Nature)
  7. Gene expression patterns of breast carcinomas distinguish tumor subclasses with clinical implications (Proceedings of the National Academy of Sciences of the United States of America)
  8. Serum protein fingerprinting coupled with a pattern-matching algorithm distinguishes prostate cancer from benign prostate hyperplasia and healthy men. (Cancer Research)
  9. Supervised risk predictor of breast cancer based on intrinsic subtypes.
  10. Summaries of Affymetrix GeneChip probe level data. (Nucleic Acids Research)

Their papers