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Protocol for obtaining cancer type and subtype predictions using subSCOPE

Summary: We present a protocol for obtaining cancer type and subtype predictions using a machine learning method (subSCOPE). We describe steps for data preparation, subSCOPE setup, and running subSCOPE inference on prepared data. The protocol supports five -omics data types as input (DNA methylation...

पूर्ण विवरण

में बचाया:
मुख्य लेखकों: Jasleen K. Grewal, A. Gordon Robertson, Kyle Ellrott, Christopher K. Wong, Jordan A. Lee, Christina Yau, Bahar Tercan, Mauro A.A. Castro, Christopher C. Benz, Jean C. Zenklusen, Andrew D. Cherniack, Peter W. Laird, Steven J.M. Jones, Theo A. Knijnenburg, Vinicius S. Chagas, Victor H. Apolonio, Verena Friedl, Joshua M. Stuart, Vladislav Uzunangelov, Jesper B. Andersen, Galen F. Gao, Gad Getz, Stephanie H. Hoyt, Whijae Roh, Lindsay Westlake, Samantha J. Caesar-Johnson, John A. Demchok, Ina Felau, Anab Kemal, Roy Tarnuzzer, Zhining Wang, Liming Yang, Rehan Akbani, Bradley M. Broom, Zhenlin Ju, Andre Schultz, Akinyemi I. Ojesina, Katherine A. Hoadley, Avantika Lal, Daniele Ramazzotti, Chen Wang, Alexander J. Lazar, Lewis R. Roberts, Taek-Kyun Kim, Ilya Shmulevich, Paulos Charonyktakis, Vincenzo Lagani, Ioannis Tsamardinos, Esther Drill, Ronglai Shen, Martin L. Ferguson, Kami E. Chiotti, Brian J. Karlberg, Eve Lowenstein, Adam Struck, Paul T. Spellman, Toshinori Hinoue
स्वरूप: Artigo
भाषा:Inglês
प्रकाशित: Elsevier 2025-06-01
श्रृंखला:STAR Protocols
विषय:
Bioinformatics
Cancer
Genomics
Computer sciences
ऑनलाइन पहुंच:http://www.sciencedirect.com/science/article/pii/S266616672500111X
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