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Robert M. Stephens: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. G. W. Patton, R. Stephens, I. A. Sidorov, X. Xiao, Richard A. Lempicki, D. S. Dimitrov, Robert H. Shoemaker, G. Tudor
    Transcriptomic response to differentiation induction. [Citation Graph (0, 0)][DBLP]
    BMC Bioinformatics, 2006, v:7, n:, pp:81- [Journal]
  2. Ming Yi, Jay D. Horton, Jonathan C. Cohen, Helen H. Hobbs, Robert M. Stephens
    WholePathwayScope: a comprehensive pathway-based analysis tool for high-throughput data. [Citation Graph (0, 0)][DBLP]
    BMC Bioinformatics, 2006, v:7, n:, pp:30- [Journal]
  3. Barry Zeeberg, Haiying Qin, Sudarshan Narasimhan, Margot Sunshine, Hong Cao, David Kane, Mark Reimers, Robert M. Stephens, David Bryant, Stanley K. Burt, Eldad Elnekave, Danielle M. Hari, Thomas A. Wynn, Charlotte Cunningham-Rundles, Donn M. Stewart, David Nelson, John N. Weinstein
    High-Throughput GoMiner, an 'industrial-strength' integrative gene ontology tool for interpretation of multiple-microarray experiments, with application to studies of Common Variable Immune Deficiency (CVID). [Citation Graph (0, 0)][DBLP]
    BMC Bioinformatics, 2005, v:6, n:, pp:168- [Journal]
  4. Keiko Akagi, Takeshi Suzuki, Robert M. Stephens, Nancy A. Jenkins, Neal G. Copeland
    RTCGD: retroviral tagged cancer gene database. [Citation Graph (0, 0)][DBLP]
    Nucleic Acids Research, 2004, v:32, n:Database-Issue, pp:523-527 [Journal]
  5. John S. Garavelli, Zhenglin Hou, Nagarajan Pattabiraman, Robert M. Stephens
    The RESID Database of protein structure modifications and the NRL-3D Sequence-Structure Database. [Citation Graph (0, 0)][DBLP]
    Nucleic Acids Research, 2001, v:29, n:1, pp:199-201 [Journal]

  6. GEOmetadb: powerful alternative search engine for the Gene Expression Omnibus. [Citation Graph (, )][DBLP]


  7. bioDBnet: the biological database network. [Citation Graph (, )][DBLP]


  8. DAVID Knowledgebase: a gene-centered database integrating heterogeneous gene annotation resources to facilitate high-throughput gene functional analysis. [Citation Graph (, )][DBLP]


  9. Seeking unique and common biological themes in multiple gene lists or datasets: pathway pattern extraction pipeline for pathway-level comparative analysis. [Citation Graph (, )][DBLP]


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