N Friedman

Summary

Affiliation: Stanford University
Country: USA

Publications

  1. ncbi Rich probabilistic models for gene expression
    E Segal
    Computer Science Department, Stanford University, Stanford 94305, USA
    Bioinformatics 17:S243-52. 2001
  2. ncbi Module networks: identifying regulatory modules and their condition-specific regulators from gene expression data
    Eran Segal
    Computer Science Department, Stanford University, Stanford, California, 94305, USA
    Nat Genet 34:166-76. 2003
  3. ncbi Discovering molecular pathways from protein interaction and gene expression data
    E Segal
    Computer Science Department, Stanford University, Stanford, CA 94305 9010, USA
    Bioinformatics 19:i264-71. 2003
  4. ncbi Genome-wide discovery of transcriptional modules from DNA sequence and gene expression
    E Segal
    Computer Science Department of Stanford University, Stanford, CA 94305 9010, USA
    Bioinformatics 19:i273-82. 2003

Detail Information

Publications4

  1. ncbi Rich probabilistic models for gene expression
    E Segal
    Computer Science Department, Stanford University, Stanford 94305, USA
    Bioinformatics 17:S243-52. 2001
    ....
  2. ncbi Module networks: identifying regulatory modules and their condition-specific regulators from gene expression data
    Eran Segal
    Computer Science Department, Stanford University, Stanford, California, 94305, USA
    Nat Genet 34:166-76. 2003
    ..We present microarray experiments supporting three novel predictions, suggesting regulatory roles for previously uncharacterized proteins...
  3. ncbi Discovering molecular pathways from protein interaction and gene expression data
    E Segal
    Computer Science Department, Stanford University, Stanford, CA 94305 9010, USA
    Bioinformatics 19:i264-71. 2003
    ..Our results show that our approach is much more successful than other approaches at discovering both coherent functional groups and entire protein complexes...
  4. ncbi Genome-wide discovery of transcriptional modules from DNA sequence and gene expression
    E Segal
    Computer Science Department of Stanford University, Stanford, CA 94305 9010, USA
    Bioinformatics 19:i273-82. 2003
    ..We also combine our results with binding localization data to obtain regulatory relationships with known transcription factors, and show that many of the inferred relationships have support in the literature...