Ben Lengerich

More details about my publications can be found on Google Scholar, Semantic Scholar, or DBLP.

Publications

Precision Lasso: Accounting for Correlations and Linear Dependencies in High-Dimensional Genomic Data
Haohan Wang, Benjamin J. Lengerich, Bryon Aragam, Eric P. Xing
Abstract Paper Code Cite
Bioinformatics 2018
Retrofitting Distributional Embeddings to Knowledge Graphs with Functional Relations
Benjamin J. Lengerich, Andrew L. Maas, Christopher Potts
Abstract Paper Pre-print Code
COLING 2018
Hybrid Subspace Learning for High-Dimensional Genomic Data
Micol Marchetti-Bowick, Benjamin J. Lengerich, Ankur Parikh, Eric P. Xing
Abstract Pre-print
Arxiv 2018
Personalized Regression Enables Sample-Specific Pan-Cancer Analysis
Benjamin J. Lengerich, Bryon Aragam, Eric P. Xing
Abstract Paper Pre-print Slides Video Code Cite
ISMB 2018
Opportunities And Obstacles For Deep Learning In Biology And Medicine
Ching et al.
Abstract Paper Pre-print Press
Journal of the Royal Society Interface, 2018
Contextual Explanation Networks Enable Integrated Analysis Of Imaging And Genomic Data
Benjamin J. Lengerich, Maruan Al-Shedivat, Avinava Dubey, Amir Alavi, Jennifer Williams, Eric P. Xing
Abstract Poster
ISMB Machine Learning in Computational and Systems Biology, 2018
Towards Visual Explanations for Convolutional Neural Networks via Input Resampling
Benjamin J. Lengerich*, Sandeep Konam*, Eric P. Xing, Stephanie Rosenthal, Manuela Veloso
Abstract Paper Slides
ICML Workshop on Visualization for Deep Learning, 2017
GenAMap on the Web: Intuitive and Scalable Machine Learning for Structured Association Mapping
Benjamin J. Lengerich*, Haohan Wang*, Min Kyung Lee, Eric P. Xing
Abstract Poster Code
ASHG, 2016
Experimental and Computational Mutagenesis To Investigate the Positioning of a General Base within an Enzyme Active Site
Jason P. Schwans, Philip Hanoian, Benjamin J. Lengerich, Fanny Sunden, Ana Gonzalez, Yingssu Tsai, Sharon Hammes-Schiffer, Daniel Herschlag
Abstract Paper
Biochemistry, 2014