Journal: Patterns

Volume 2, Issue 12

100364 -- 0Saaket Agrawal, Marcus D. R. Klarqvist, Connor Emdin, Aniruddh P. Patel, Manish D. Paranjpe, Patrick T. Ellinor, Anthony Philippakis, Kenney Ng, Puneet Batra, Amit V. Khera. Selection of 51 predictors from 13, 782 candidate multimodal features using machine learning improves coronary artery disease prediction
100366 -- 0Amalie Dyda, Michael Purcell, Stephanie Curtis, Emma Field, Priyanka Pillai, Kieran Ricardo, Haotian Weng, Jessica C. Moore, Michael Hewett, Graham Williams, Colleen L. Lau. Differential privacy for public health data: An innovative tool to optimize information sharing while protecting data confidentiality
100368 -- 0Nicholas J. Tierney, Karthik Ram. Common-sense approaches to sharing tabular data alongside publication
100372 -- 0Evan Greene, Greg Finak, Leonard A. D'Amico, Nina Bhardwaj, Candice D. Church, Chihiro Morishima, Nirasha Ramchurren, Janis M. Taube, Paul T. Nghiem, Martin A. Cheever, Steven P. Fling, Raphael Gottardo. New interpretable machine-learning method for single-cell data reveals correlates of clinical response to cancer immunotherapy
100373 -- 0Kevin R. Talley, Robert R. White, Nick Wunder, Matthew Eash, Marcus Schwarting, Dave Evenson, John D. Perkins, William Tumas, Kristin Munch, Caleb Phillips, Andriy Zakutayev. Research data infrastructure for high-throughput experimental materials science
100374 -- 0Sharlee Climer. Connecting the dots: The boons and banes of network modeling
100381 -- 0Arthur Gwagwa, Emre Kazim, Patti Kachidza, Airlie Hilliard, Kathleen Siminyu, Matthew Smith, John Shawe-Taylor. Road map for research on responsible artificial intelligence for development (AI4D) in African countries: The case study of agriculture
100383 -- 0Artur Yakimovich, Anaƫl Beaugnon, Yi Huang, Elif Ozkirimli. Labels in a haystack: Approaches beyond supervised learning in biomedical applications
100384 -- 0Beibei Ru, Peng Jiang. Discover immunotherapy biomarkers from single-cell cytometry data
100386 -- 0A. E. Boyd. Intersectionality and reflexivity - decolonizing methodologies for the data science process
100389 -- 0Tingyi Wanyan, Hossein Honarvar, Suraj K. Jaladanki, Chengxi Zang, Nidhi Naik, Sulaiman Somani, Jessica K. De Freitas, Ishan Paranjpe, Akhil Vaid, Jing Zhang, Riccardo Miotto, Zhangyang Wang, Girish N. Nadkarni, Marinka Zitnik, Ariful Azad, Fei Wang 0001, Ying Ding 0001, Benjamin S. Glicksberg. Contrastive learning improves critical event prediction in COVID-19 patients
100390 -- 0Ding Ruan, Shuyi Ji, Chenggang Yan, JunJie Zhu, Xibin Zhao, Yuedong Yang, Yue Gao 0002, Changqing Zou, Qionghai Dai. Exploring complex and heterogeneous correlations on hypergraph for the prediction of drug-target interactions
100393 -- 0Monica Scannapieco, Antonino Virgillito. How to be responsible in all the steps of a data science pipeline: The case of the Italian public sector
100394 -- 0Roaa Al Feel. Meta-learning for fake news detection surrounding the Syrian war: An interview with co-author Roaa Al Feel
100397 -- 0James Nevin, Michael Lees, Paul Groth. The non-linear impact of data handling on network diffusion models
100411 -- 0Matthew K. Horton, Rachel Woods-Robinson. Addressing the critical need for open experimental databases in materials science