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Patterns (New York, N.Y.)|November 21, 2024
Exposing image splicing traces in scientific publications via uncertainty-guided refinementXun Lin, Wenzhong Tang, Haoran Wang, et al.Patterns (New York, N.Y.)|November 21, 2024
A multi-dimensional approach to the future of digital research infrastructure for systemic environmental scienceKelly Widdicks, Faiza Samreen, Gordon S Blair, et al.Patterns (New York, N.Y.)|September 5, 2024
How deep can we decipher protein evolution with deep learning modelsXiaozhi FuPatterns (New York, N.Y.)|September 5, 2024
psHarmonize: Facilitating reproducible large-scale pre-statistical data harmonization and documentation in RJohn J Stephen, Padraig Carolan, Amy E Krefman, et al.Patterns (New York, N.Y.)|September 5, 2024
Modularized neural network incorporating physical priors for future building energy modelingZixin Jiang, Bing DongPatterns (New York, N.Y.)|July 31, 2024
MetaGate: Interactive analysis of high-dimensional cytometry data with metadata integrationEivind Heggernes Ask, Astrid Tschan-Plessl, Hanna Julie Hoel, et al.Patterns (New York, N.Y.)|July 15, 2024
Explainability pitfalls: Beyond dark patterns in explainable AIUpol Ehsan, Mark O RiedlPatterns (New York, N.Y.)|July 15, 2024
PYPE: A pipeline for phenome-wide association and Mendelian randomization in investigator-driven biobank scale analysisTaykhoom Dalal, Chirag J PatelPatterns (New York, N.Y.)|July 15, 2024
CURE: A deep learning framework pre-trained on large-scale patient data for treatment effect estimationRuoqi Liu, Pin-Yu Chen, Ping ZhangPatterns (New York, N.Y.)|July 15, 2024
The landscape of biomedical researchRita González-Márquez, Luca Schmidt, Benjamin M Schmidt, et al.Pageof 92