Roy Varshavsky

Intelligent Systems in Molecular Biology · 2006

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Roy Varshavsky trusts overall

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

  1. Roded Sharan
  2. Isabelle M Guyon
  3. Naftali Tishby
  4. Gad Getz
  5. Michael E. Wall
  6. Trevor J. Hastie
  7. Andre´ Elisseeff
  8. Ron Shamir
  9. Scott A. Armstrong
  10. Fernando C Pereira

Who trusts Roy Varshavsky overall

  1. Jun Chin Ang
  2. Andri Mirzal

Papers from Roy Varshavsky's perspective

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

  1. Coupled two-way clustering analysis of gene microarray data. (Proceedings of the National Academy of Sciences of the United States of America)
  2. An Introduction to Variable and Feature Selection
  3. The information bottleneck method
  4. Singular value decomposition for genome-wide expression data processing and modeling. (Proceedings of the National Academy of Sciences of the United States of America)
  5. 'Gene shaving' as a method for identifying distinct sets of genes with similar expression patterns (Genome Biology)
  6. CLICK: a clustering algorithm with applications to gene expression analysis. (Proceedings. International Conference on Intelligent Systems for Molecular Biology)
  7. Center CLICK: A Clustering Algorithm with Applications to Gene Expression Analysis (Intelligent Systems in Molecular Biology)
  8. ImageNet classification with deep convolutional neural networks
  9. MLL translocations specify a distinct gene expression profile that distinguishes a unique leukemia (Nature Genetics)
  10. Gradient-based learning applied to document recognition

Their papers