Gene Expression Signatures Based on Variability can Robustly Predict Tumor Progression and Prognosis by Wikum Dinalankara, Héctor Corrada Bravo

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An R package for divergence analysis of omics data. by Wikum Dinalankara, Qian Ke, Donald Geman, Luigi Marchionni

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Efficient representations of tumor diversity with paired DNA-RNA aberrations. by Qian Ke, Wikum Dinalankara, Laurent Younes, Donald Geman, Luigi Marchionni

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Influenza Vaccination and COVID-19 Mortality in the USA: An Ecological Study by Claudio Zanettini, Mohamed Omar, Wikum Dinalankara, Eddie Luidy Imada, Elizabeth Colantuoni, Giovanni Parmigiani, Luigi Marchionni

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Identifying Personalized Metabolic Signatures in Breast Cancer by Priyanka Baloni, Wikum Dinalankara, John C. Earls, Theo A. Knijnenburg, Donald Geman, Luigi Marchionni, Nathan D. Price

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Using biological constraints to improve prediction in precision oncology by Mohamed Omar, Wikum Dinalankara, Lotte Mulder, Tendai Coady, Claudio Zanettini, Eddie Luidy Imada, Laurent Younes, Donald Geman, Luigi Marchionni

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Distinct mesenchymal cell states mediate prostate cancer progression by Hubert Pakula, Mohamed Omar, Ryan Carelli, Filippo Pederzoli, Giuseppe Nicolò Fanelli, Tania Pannellini, Fabio Socciarelli, Lucie Van Emmenis, Silvia Rodrigues, Caroline Fidalgo-Ribeiro, Pier Vitale Nuzzo, Nicholas J. Brady, Wikum Dinalankara, Madhavi Jere, Itzel Valencia, Christopher Saladino, Jason Stone, Caitlin Unkenholz, Richard Garner, Mohammad K. Alexanderani, Francesca Khani, Francisca Nunes de Almeida, Cory Abate-Shen, Matthew B. Greenblatt, David S. Rickman, Christopher E. Barbieri, Brian D. Robinson, Luigi Marchionni, Massimo Loda

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