Jean-Philippe Brunet

Molecular Biology · 2004–2011

A researcher in the Science corpus: 5 papers; trusts 3 researchers and is trusted by 11 researchers here, as inferred from the citation graph.

Subfields

Whom Jean-Philippe Brunet trusts overall

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

  1. Pablo Tamayo
  2. Stefano Monti

Who trusts Jean-Philippe Brunet overall

  1. Jingu Kim
  2. Haesun Park
  3. Chih-Jen Lin
  4. Hyunsoo Kim
  5. Renaud Gaujoux
  6. J. Meisner
  7. Yuan Gao
  8. Meng Yang
  9. Lujia Chen
  10. Deng Cai

Papers from Jean-Philippe Brunet's perspective

Ordered by how strongly the researchers Jean-Philippe Brunet trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Large-scale analysis of the human and mouse transcriptomes (Proceedings of the National Academy of Sciences of the United States of America)
  2. Missing value estimation methods for DNA microarrays
  3. The use of molecular profiling to predict survival after chemotherapy for diffuse large-B-cell lymphoma. (New England Journal of Medicine)
  4. Predicting the clinical status of human breast cancer by using gene expression profiles (Proceedings of the National Academy of Sciences of the United States of America)
  5. Multiclass cancer diagnosis using tumor gene expression signatures (Proceedings of the National Academy of Sciences of the United States of America)
  6. Consensus Clustering: A Resampling-Based Method for Class Discovery and Visualization of Gene Expression Microarray Data (Machine-mediated learning)
  7. Prediction of cancer outcome with microarrays: a multiple random validation strategy. (The Lancet)
  8. Statistical Methods for Research Workers
  9. Controlling the false discovery rate in behavior genetics research. (Behavioural Brain Research)
  10. Diffuse large B-cell lymphoma outcome prediction by gene-expression profiling and supervised machine learning (Nature Medicine)

Their papers