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A Multi-Method Approach for Proteomic Network Inference in 11 Human Cancers.
Senbabaoglu, Yasin; Sümer, Selçuk Onur; Sánchez-Vega, Francisco; Bemis, Debra; Ciriello, Giovanni; Schultz, Nikolaus; Sander, Chris.
Affiliation
  • Senbabaoglu Y; Computational Biology Program, Memorial Sloan Kettering Cancer Center, New York, New York, United States of America.
  • Sümer SO; Computational Biology Program, Memorial Sloan Kettering Cancer Center, New York, New York, United States of America.
  • Sánchez-Vega F; Computational Biology Program, Memorial Sloan Kettering Cancer Center, New York, New York, United States of America.
  • Bemis D; Computational Biology Program, Memorial Sloan Kettering Cancer Center, New York, New York, United States of America.
  • Ciriello G; Computational Biology Program, Memorial Sloan Kettering Cancer Center, New York, New York, United States of America.
  • Schultz N; Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, New York, United States of America.
  • Sander C; Computational Biology Program, Memorial Sloan Kettering Cancer Center, New York, New York, United States of America.
PLoS Comput Biol ; 12(2): e1004765, 2016 Feb.
Article in En | MEDLINE | ID: mdl-26928298
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Full text: 1 Database: MEDLINE Main subject: Software / Proteomics / Protein Interaction Maps / Neoplasm Proteins / Neoplasms Limits: Humans Language: En Journal: PLoS Comput Biol Journal subject: BIOLOGIA / INFORMATICA MEDICA Year: 2016 Type: Article Affiliation country: United States
Fulltext
Add to My VHL
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PubMed Links
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Full text: 1 Database: MEDLINE Main subject: Software / Proteomics / Protein Interaction Maps / Neoplasm Proteins / Neoplasms Limits: Humans Language: En Journal: PLoS Comput Biol Journal subject: BIOLOGIA / INFORMATICA MEDICA Year: 2016 Type: Article Affiliation country: United States