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Sunayan Bandyopadhyay

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BMC Evolutionary Biology|November 20, 2010
Predicting genome-wide redundancy using machine learningHuang-Wen Chen, Sunayan Bandyopadhyay, Dennis E Shasha, et al.
Journal of Biomedical Informatics|March 20, 2016
Adapting machine learning techniques to censored time-to-event health record data: A general-purpose approach using inverse probability of censoring weightingDavid M Vock, Julian Wolfson, Sunayan Bandyopadhyay, et al.
Journal of the American Heart Association|April 26, 2017
Use and Customization of Risk Scores for Predicting Cardiovascular Events Using Electronic Health Record DataJulian Wolfson, David M Vock, Sunayan Bandyopadhyay, et al.
Statistics in Medicine|May 19, 2015
A Naive Bayes machine learning approach to risk prediction using censored, time-to-event dataJulian Wolfson, Sunayan Bandyopadhyay, Mohamed Elidrisi, et al.
Nature Methods|November 16, 2010
Quantitative analysis of fitness and genetic interactions in yeast on a genome scaleAnastasia Baryshnikova, Michael Costanzo, Yungil Kim, et al.
Pageof 1

Showing results (1-10 of 5) with videos related to

Sort By:
Pageof 1
BMC Evolutionary Biology|November 20, 2010
Predicting genome-wide redundancy using machine learningHuang-Wen Chen, Sunayan Bandyopadhyay, Dennis E Shasha, et al.
Journal of Biomedical Informatics|March 20, 2016
Adapting machine learning techniques to censored time-to-event health record data: A general-purpose approach using inverse probability of censoring weightingDavid M Vock, Julian Wolfson, Sunayan Bandyopadhyay, et al.
Journal of the American Heart Association|April 26, 2017
Use and Customization of Risk Scores for Predicting Cardiovascular Events Using Electronic Health Record DataJulian Wolfson, David M Vock, Sunayan Bandyopadhyay, et al.
Statistics in Medicine|May 19, 2015
A Naive Bayes machine learning approach to risk prediction using censored, time-to-event dataJulian Wolfson, Sunayan Bandyopadhyay, Mohamed Elidrisi, et al.
Nature Methods|November 16, 2010
Quantitative analysis of fitness and genetic interactions in yeast on a genome scaleAnastasia Baryshnikova, Michael Costanzo, Yungil Kim, et al.
Pageof 1