Ken-ichi Matsubara

Bioinform. · 2003

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Ken-ichi Matsubara trusts

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

  1. Masa-aki Sato (in Artificial Intelligence)

Papers from Ken-ichi Matsubara's perspective

Ordered by how strongly the researchers Ken-ichi Matsubara trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Missing value estimation methods for DNA microarrays
  2. Knowledge-based analysis of microarray gene expression data by using support vector machines. (Proceedings of the National Academy of Sciences of the United States of America)
  3. Singular value decomposition for genome-wide expression data processing and modeling. (Proceedings of the National Academy of Sciences of the United States of America)
  4. The Elements of Statistical Learning
  5. Distinct types of diffuse large B-cell lymphoma identified by gene expression profiling (Nature)
  6. Molecular portraits of human breast tumours (Nature)
  7. Mixtures of Probabilistic Principal Component Analyzers
  8. Prediction of central nervous system embryonal tumour outcome based on gene expression (Nature)
  9. Diffuse large B-cell lymphoma outcome prediction by gene-expression profiling and supervised machine learning (Nature Medicine)
  10. Gene expression profiling predicts clinical outcome of breast cancer

Their papers