Diversifying the Genomic Data Science Research Community

no code implementations • 20 Jan 2022 • The Genomic Data Science Community Network, Rosa Alcazar, Maria Alvarez, Rachel Arnold, Mentewab Ayalew, Lyle G. Best, Michael C. Campbell, Kamal Chowdhury, Katherine E. L. Cox, Christina Daulton, Youping Deng, Carla Easter, Karla Fuller, Shazia Tabassum Hakim, Ava M. Hoffman, Natalie Kucher, Andrew Lee, Joslynn Lee, Jeffrey T. Leek, Robert Meller, Loyda B. Méndez, Miguel P. Méndez-González, Stephen Mosher, Michele Nishiguchi, Siddharth Pratap, Tiffany Rolle, Sourav Roy, Rachel Saidi, Michael C. Schatz, Shurjo Sen, James Sniezek, Edu Suarez Martinez, Frederick Tan, Jennifer Vessio, Karriem Watson, Wendy Westbroek, Joseph Wilcox, Xianfa Xie

Over the last 20 years, there has been an explosion of genomic data collected for disease association, functional analyses, and other large-scale discoveries.

Cloud Computing

The importance of transparency and reproducibility in artificial intelligence research

no code implementations • 28 Feb 2020 • Benjamin Haibe-Kains, George Alexandru Adam, Ahmed Hosny, Farnoosh Khodakarami, MAQC Society Board, Levi Waldron, Bo wang, Chris McIntosh, Anshul Kundaje, Casey S. Greene, Michael M. Hoffman, Jeffrey T. Leek, Wolfgang Huber, Alvis Brazma, Joelle Pineau, Robert Tibshirani, Trevor Hastie, John P. A. Ioannidis, John Quackenbush, Hugo J. W. L. Aerts

In their study, McKinney et al. showed the high potential of artificial intelligence for breast cancer screening.

Applications

Tools for analyzing R code the tidy way

no code implementations • 20 May 2019 • Lucy D'Agostino McGowan, Sean Kross, Jeffrey T. Leek

In order to analyze the between researcher variability in data analysis choices as well as the aspects within the data analysis pipeline that contribute to the variability in results, we have created two R packages: matahari and tidycode.

Computation