Not logged inPrognostic pan-cancer and single-cancer models: A large-scale analysis using a real-world clinico-genomic database
McGough, Sarah F.; Lyalina, Svetlana; Incerti, Devin; Huang, Yunru; Tyanova, Stefka; Mace, Kieran; Harbron, Chris; Copping, Ryan; Narasimhan, Balasubramanian; Tibshirani, Robert .png)
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SaveSystematic analysis of off-label and off-guideline cancer therapy usage in a real-world cohort of 165,912 US patientsLiu, Ruishan; Wang, Lisa; Rizzo, Shemra; Garmhausen, Marius Rene; Pal, Navdeep; Waliany, Sarah; Mcgough, Sarah; Lin, Yvonne G.; Huang, Zhi; Neal, Joel; Copping, Ryan; Zou, James Share Save Learning from data with structured missingnessMitra, Robin; McGough, Sarah F.; Chakraborti, Tapabrata; Holmes, Chris; Copping, Ryan; Hagenbuch, Niels; Biedermann, Stefanie; Noonan, Jack; Lehmann, Brieuc; Shenvi, Aditi; Doan, Xuan Vinh; Leslie, David; Bianconi, Ginestra; Sanchez-Garcia, Ruben; Davies, Alisha; Mackintosh, Maxine; Andrinopoulou, Eleni-Rosalina; Basiri, Anahid; Harbron, Chris; MacArthur, Ben D. Share Save Systematic pan-cancer analysis of mutation-treatment interactions using large real-world clinicogenomics dataLiu, Ruishan; Rizzo, Shemra; Waliany, Sarah; Garmhausen, Marius Rene; Pal, Navdeep; Huang, Zhi; Chaudhary, Nayan; Wang, Lisa; Harbron, Chris; Neal, Joel; Copping, Ryan; Zou, James Share Save Machine Learning Prediction of Clinical Trial Operational EfficiencyWu, Kevin; Wu, Eric; DAndrea, Michael; Chitale, Nandini; Lim, Melody; Dabrowski, Marek; Kantor, Klaudia; Rangi, Hanoor; Liu, Ruishan; Garmhausen, Marius; Pal, Navdeep; Harbron, Chris; Rizzo, Shemra; Copping, Ryan; Zou, James Share Save Evaluating eligibility criteria of oncology trials using real-world data and AILiu, Ruishan; Rizzo, Shemra; Whipple, Samuel; Pal, Navdeep; Pineda, Arturo Lopez; Lu, Michael; Arnieri, Brandon; Lu, Ying; Capra, William; Copping, Ryan; Zou, James Share Save Share Save Share Save Share Save 
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