no code implementations • 17 Aug 2021 • Participants in a NIH Workshop on Functional, Integrative Proteomics, :, Kristin E. Burnum Johnson, Thomas P. Conrads, Richard R. Drake, Amy E. Herr, Ravi Iyengar, Ryan T. Kelly, Emma Lundberg, Michael J. MacCoss, Alexandra Naba, Garry P. Nolan, Pavel A. Pevzner, Karin D. Rodland, Salvatore Sechi, Nikolai Slavov, Jeffrey M. Spraggins, Jennifer E. Van Eyk, Marc Vidal, Christine Vogel, David R. Walt, Neil L. Kelleher
All human diseases involve proteins, yet our current tools to characterize and quantify them are limited.
no code implementations • 16 Jul 2021 • John W. Hickey, Elizabeth K. Neumann, Andrea J. Radtke, Jeannie M. Camarillo, Rebecca T. Beuschel, Alexandre Albanese, Elizabeth McDonough, Julia Hatler, Anne E. Wiblin, Jeremy Fisher, Josh Croteau, Eliza C. Small, Anup Sood, Richard M. Caprioli, R. Michael Angelo, Garry P. Nolan, Kwanghun Chung, Stephen M. Hewitt, Ronald N. Germain, Jeffrey M. Spraggins, Emma Lundberg, Michael P. Snyder, Neil L. Kelleher, Sinem K. Saka
Tissues and organs are composed of distinct cell types that must operate in concert to perform physiological functions.
Deep learning methods have shown extraordinary potential for analyzing very diverse biomedical data, but their dissemination beyond developers is hindered by important computational hurdles.