Predicting genome-wide redundancy using machine learning

Por Chen, Huang-Wen, Bandyopadhyay, Sunayan, Shasha, Dennis E, Birnbaum, Kenneth D
Publicado em 2010

Adapting machine learning techniques to censored time-to-event health record data: a general-purpose approach using inverse probability of censoring weighting

Por Vock, David M., Wolfson, Julian, Bandyopadhyay, Sunayan, Adomavicius, Gediminas, Johnson, Paul E., Vazquez-Benitez, Gabriela, O’Connor, Patrick J.
Publicado no J Biomed Inform (2016)

Use and Customization of Risk Scores for Predicting Cardiovascular Events Using Electronic Health Record Data

Por Wolfson, Julian, Vock, David M., Bandyopadhyay, Sunayan, Kottke, Thomas, Vazquez‐Benitez, Gabriela, Johnson, Paul, Adomavicius, Gediminas, O'Connor, Patrick J.
Publicado no J Am Heart Assoc (2017)

Quantitative analysis of fitness and genetic interactions in yeast on a genome scale

Por Baryshnikova, Anastasia, Costanzo, Michael, Kim, Yungil, Ding, Huiming, Koh, Judice, Toufighi, Kiana, Youn, Ji-Young, Ou, Jiongwen, Luis, Bryan-Joseph San, Bandyopadhyay, Sunayan, Hibbs, Matthew, Hess, David, Gingras, Anne-Claude, Bader, Gary D, Troyanskaya, Olga G, Brown, Grant W, Andrews, Brenda, Boone, Charles, Myers, Chad L
Publicado em 2010