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Benjamin J Lengerich

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Bioinformatics (Oxford, England)|June 29, 2018
Personalized regression enables sample-specific pan-cancer analysisBenjamin J Lengerich, Bryon Aragam, Eric P Xing
Bioinformatics (Oxford, England)|September 6, 2018
Precision Lasso: accounting for correlations and linear dependencies in high-dimensional genomic dataHaohan Wang, Benjamin J Lengerich, Bryon Aragam, et al.
NPJ Digital Medicine|November 21, 2025
The hidden risk of round numbers and sharp thresholds in clinical practiceBenjamin J Lengerich, Rich Caruana, Mark E Nunnally, et al.
Medrxiv : the Preprint Server for Health Sciences|December 21, 2021
Time-Varying Mortality Risk Suggests Increased Impact of Thrombosis in Hospitalized Covid-19 PatientsBenjamin J Lengerich, Mark E Nunnally, Yin Aphinyanaphongs, et al.
Journal of Biomedical Informatics|May 3, 2022
Automated interpretable discovery of heterogeneous treatment effectiveness: A COVID-19 case studyBenjamin J Lengerich, Mark E Nunnally, Yin Aphinyanaphongs, et al.
American Journal of Obstetrics & Gynecology MFM|June 8, 2024
Interpretable machine learning predicts postpartum hemorrhage with severe maternal morbidity in a lower-risk laboring obstetric populationBenjamin J Lengerich, Rich Caruana, Ian Painter, et al.
Journal of Healthcare Informatics Research|January 26, 2024
Interpretable Predictive Models to Understand Risk Factors for Maternal and Fetal OutcomesTomas M Bosschieter, Zifei Xu, Hui Lan, et al.
Biochemistry|March 7, 2014
Experimental and computational mutagenesis to investigate the positioning of a general base within an enzyme active siteJason P Schwans, Philip Hanoian, Benjamin J Lengerich, et al.
Plos Computational Biology|March 24, 2022
Ten quick tips for deep learning in biologyBenjamin D Lee, Anthony Gitter, Casey S Greene, et al.
Journal of the Royal Society, Interface|April 6, 2018
Opportunities and obstacles for deep learning in biology and medicineTravers Ching, Daniel S Himmelstein, Brett K Beaulieu-Jones, et al.
Pageof 1

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

Sort By:
Pageof 1
Bioinformatics (Oxford, England)|June 29, 2018
Personalized regression enables sample-specific pan-cancer analysisBenjamin J Lengerich, Bryon Aragam, Eric P Xing
Bioinformatics (Oxford, England)|September 6, 2018
Precision Lasso: accounting for correlations and linear dependencies in high-dimensional genomic dataHaohan Wang, Benjamin J Lengerich, Bryon Aragam, et al.
NPJ Digital Medicine|November 21, 2025
The hidden risk of round numbers and sharp thresholds in clinical practiceBenjamin J Lengerich, Rich Caruana, Mark E Nunnally, et al.
Medrxiv : the Preprint Server for Health Sciences|December 21, 2021
Time-Varying Mortality Risk Suggests Increased Impact of Thrombosis in Hospitalized Covid-19 PatientsBenjamin J Lengerich, Mark E Nunnally, Yin Aphinyanaphongs, et al.
Journal of Biomedical Informatics|May 3, 2022
Automated interpretable discovery of heterogeneous treatment effectiveness: A COVID-19 case studyBenjamin J Lengerich, Mark E Nunnally, Yin Aphinyanaphongs, et al.
American Journal of Obstetrics & Gynecology MFM|June 8, 2024
Interpretable machine learning predicts postpartum hemorrhage with severe maternal morbidity in a lower-risk laboring obstetric populationBenjamin J Lengerich, Rich Caruana, Ian Painter, et al.
Journal of Healthcare Informatics Research|January 26, 2024
Interpretable Predictive Models to Understand Risk Factors for Maternal and Fetal OutcomesTomas M Bosschieter, Zifei Xu, Hui Lan, et al.
Biochemistry|March 7, 2014
Experimental and computational mutagenesis to investigate the positioning of a general base within an enzyme active siteJason P Schwans, Philip Hanoian, Benjamin J Lengerich, et al.
Plos Computational Biology|March 24, 2022
Ten quick tips for deep learning in biologyBenjamin D Lee, Anthony Gitter, Casey S Greene, et al.
Journal of the Royal Society, Interface|April 6, 2018
Opportunities and obstacles for deep learning in biology and medicineTravers Ching, Daniel S Himmelstein, Brett K Beaulieu-Jones, et al.
Pageof 1