Definitions, methods, and applications in interpretable machine learning von Murdoch, W. James, Singh, Chandan, Kumbier, Karl, Abbasi-Asl, Reza, Yu, Bin

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Iterative random forests to discover predictive and stable high-order interactions von Basu, Sumanta, Kumbier, Karl, Brown, James B., Yu, Bin

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Veridical data science von Yu, Bin, Kumbier, Karl

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A novel random forest approach to revealing interactions and controls on chlorophyll concentration and bacterial communities during coastal phytoplankton blooms von Cheng, Yiwei, Bhoot, Ved N., Kumbier, Karl, Sison-Mangus, Marilou P., Brown, James B., Kudela, Raphael, Newcomer, Michelle E.

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Learning epistatic polygenic phenotypes with Boolean interactions von Behr, Merle, Kumbier, Karl, Cordova-Palomera, Aldo, Aguirre, Matthew, Ronen, Omer, Ye, Chengzhong, Ashley, Euan, Butte, Atul J, Arnaout, Rima, Brown, Ben, Priest, James, Yu, Bin

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Dissecting the effects of GTPase and kinase domain mutations on LRRK2 endosomal localization and activity von Rinaldi, Capria, Waters, Christopher S., Li, Zizheng, Kumbier, Karl, Rao, Lee, Nichols, R. Jeremy, Jacobson, Matthew P., Wu, Lani F., Altschuler, Steven J.

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Artificial intelligence and statistics von Yu, Bin, Kumbier, Karl

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Curating a COVID-19 Data Repository and Forecasting County-Level Death Counts in the United States von Nick Altieri, Rebecca L Barter, James Duncan, Raaz Dwivedi, Karl Kumbier, Xiao Li, Robert Netzorg, Briton Park, Chandan Singh, Yan Shuo Tan, Tiffany Tang, Yu Wang, Chao Zhang, Bin Yu

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Selection of Optimal Cell Lines for High-Content Phenotypic Screening von Heinrich, Louise, Kumbier, Karl, Li, Li, Altschuler, Steven J., Wu, Lani F.

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Identifying FUS amyotrophic lateral sclerosis disease signatures in patient dermal fibroblasts von Kumbier, Karl, Roth, Maike, Li, Zizheng, Lazzari-Dean, Julia, Waters, Christopher, Hammerlindl, Sabrina, Rinaldi, Capria, Huang, Ping, Korobeynikov, Vladislav A., Phatnani, Hemali, Shneider, Neil, Jacobson, Matthew P., Wu, Lani F., Altschuler, Steven J.

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Learning epistatic polygenic phenotypes with Boolean interactions von Merle Behr, Karl Kumbier, Aldo Cordova-Palomera, Matthew Aguirre, Omer Ronen, Chengzhong Ye, Euan Ashley, Atul J. Butte, Rima Arnaout, Ben Brown, James Priest, Bin Yu

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iRF: extracting interactions from random forests von Basu, Sumanta, Kumbier, Karl, Brown, James, Yu, Bin

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Veridical Data Science von Yu, Bin, Kumbier, Karl

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Artificial Intelligence and Statistics von Yu, Bin, Kumbier, Karl

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Designing a Data Science simulation with MERITS: A Primer von Elliott, Corrine F, Duncan, James, Tang, Tiffany M, Behr, Merle, Kumbier, Karl, Yu, Bin

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iRF scripts and data von Kumbier, Karl

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Three principles of data science: predictability, computability, and stability (PCS) von Yu, Bin, Kumbier, Karl

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A Debiased MDI Feature Importance Measure for Random Forests von Li, Xiao, Wang, Yu, Basu, Sumanta, Kumbier, Karl, Yu, Bin

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Artificial Intelligence and Statistics von Yu, Bin, Kumbier, Karl

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Designing a Data Science simulation with MERITS: A Primer von Elliott, Corrine F, Duncan, James, Tang, Tiffany M, Behr, Merle, Kumbier, Karl, Yu, Bin

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