A Multi-Method Approach for Proteomic Network Inference in 11 Human Cancers

Open Access

Peer-reviewed

Research Article

Yasin Şenbabaoğlu ,

* E-mail: senbabay@mskcc.org (YŞ); chris@sanderlab.org (CS)

Affiliation Computational Biology Program, Memorial Sloan Kettering Cancer Center, New York, New York, United States of America
⨯
Selçuk Onur Sümer,

Affiliation Computational Biology Program, Memorial Sloan Kettering Cancer Center, New York, New York, United States of America
⨯
Francisco Sánchez-Vega,

Affiliation Computational Biology Program, Memorial Sloan Kettering Cancer Center, New York, New York, United States of America
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Debra Bemis,

Affiliation Computational Biology Program, Memorial Sloan Kettering Cancer Center, New York, New York, United States of America
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Giovanni Ciriello,

Current address: Department of Medical Genetics, University of Lausanne, Lausanne, Switzerland

Affiliation Computational Biology Program, Memorial Sloan Kettering Cancer Center, New York, New York, United States of America
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Nikolaus Schultz,

Affiliation Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, New York, United States of America
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Chris Sander

* E-mail: senbabay@mskcc.org (YŞ); chris@sanderlab.org (CS)

Affiliation Computational Biology Program, Memorial Sloan Kettering Cancer Center, New York, New York, United States of America
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Cancers and neoplasms
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Lung and intrathoracic tumors
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Breast cancer
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Malignant tumors
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Protein interaction networks
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Protein interactions
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Renal cancer
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Head and neck cancers
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