Journal: Patterns

Volume 5, Issue 6

100968 -- 0Rita González-Márquez, Luca Schmidt, Benjamin M. Schmidt, Philipp Berens, Dmitry Kobak. The landscape of biomedical research
100969 -- 0Jiawei Huang, Yuxuan Du, Andres Stucky, Kevin R. Kelly, Jiang F. Zhong, Fengzhu Sun. DeepDecon accurately estimates cancer cell fractions in bulk RNA-seq data
100970 -- 0Marino Gavidia, Hongling Zhu, Arthur N. Montanari, Jesús Fuentes, Cheng Cheng, Sergio Dubner, Martin Chames, Pierre Maison-Blanche, Md. Moklesur Rahman, Roberto Sassi, Fabio Badilini, Yinuo Jiang, Shengjun Zhang, Hai-Tao Zhang, Hao Du, Basi Teng, Ye Yuan, Guohua Wan, Zhouping Tang, Xin He, Xiaoyun Yang, Jorge Goncalves. Early warning of atrial fibrillation using deep learning
100971 -- 0Upol Ehsan, Mark O. Riedl. Explainability pitfalls: Beyond dark patterns in explainable AI
100972 -- 0Fabio Crameri, Sari Hason. Navigating color integrity in data visualization
100973 -- 0Ruoqi Liu, Pin-Yu Chen, Ping Zhang. CURE: A deep learning framework pre-trained on large-scale patient data for treatment effect estimation
100982 -- 0Taykhoom Dalal, Chirag J. Patel. PYPE: A pipeline for phenome-wide association and Mendelian randomization in investigator-driven biobank scale analysis
100983 -- 0Abdelrahman Sharafeldin, Nabil Imam, Hannah Choi. Active sensing with predictive coding and uncertainty minimization
100986 -- 0Seyednami Niyakan, Jianting Sheng, Yuliang Cao, Xiang Zhang, Zhan Xu, Ling Wu, Stephen T. C. Wong, Xiaoning Qian. MUSTANG: Multi-sample spatial transcriptomics data analysis with cross-sample transcriptional similarity guidance
100988 -- 0Peter S. Park, Simon Goldstein, Aidan O'Gara, Michael Chen, Dan Hendrycks. AI deception: A survey of examples, risks, and potential solutions
100991 -- 0Zhehuan Fan, Jie Yu, Xiang Zhang, Yijie Chen, Shihui Sun, Yuanyuan Zhang, Mingan Chen, Fu Xiao, Wenyong Wu, Xutong Li, Mingyue Zheng, Xiaomin Luo, Dingyan Wang. Reducing overconfident errors in molecular property classification using Posterior Network
100993 -- 0Rita González-Márquez, Philipp Berens, Dmitry Kobak. Meet the authors: Rita González-Márquez, Philipp Berens, and Dmitry Kobak
100994 -- 0Eve Richardson, Raphael Trevizani, Jason A. Greenbaum, Hannah Carter, Morten Nielsen 0001, Bjoern Peters. The receiver operating characteristic curve accurately assesses imbalanced datasets
101005 -- 0Sheng Li. Large pre-trained models for treatment effect estimation: Are we there yet?
101006 -- 0Fan Zhang, Daniel Kreuter, Yichen Chen, Sören Dittmer, Samuel Tull, Tolou Shadbahr, Martijn Schut, Folkert W. Asselbergs, Sujoy Kar, Suthesh Sivapalaratnam, Sophie Williams, Mickey Koh, Yvonne Henskens, Bart De Wit, Umberto D'alessandro, Bubacarr Bah, Ousman Secka, Parashkev Nachev, Rajeev Gupta, Sara Trompeter, Nancy Boeckx, Christine van Laer, Gordon A. Awandare, Kwabena Sarpong, Lucas Amenga-Etego, Mathie Leers, Mirelle Huijskens, Samuel McDermott, Willem H. Ouwehand, Jacobus Preller, James H. F. Rudd, John A. D. Aston, Carola-Bibiane Schönlieb, Nicholas S. Gleadall, Michael Roberts. Recent methodological advances in federated learning for healthcare
101008 -- 0Zhuokun Feng, Yuanyuan Fu, Youping Deng. Enhancing visibility and inclusivity of queer scientists to advance equality in academia
101009 -- 0Sam Freesun Friedman, Shaan Khurshid. Consider this a WARNing
101010 -- 0Emily Wong, Ryan J. Urbanowicz, Tiffani J. Bright, Nicholas P. Tatonetti, Yi-Wen Hsiao, Xiuzhen Huang, Jason H. Moore, Pei-Chen Peng. Advancing LGBTQ+ inclusion in STEM education and AI research