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Patterns (New York, N.Y.)|November 18, 2020
Explaining the Genetic Causality for Complex Phenotype via Deep Association Kernel LearningFeng Bao, Yue Deng, Mulong Du, et al.Patterns (New York, N.Y.)|November 18, 2020
The Veterans Affairs Precision Oncology Data Repository, a Clinical, Genomic, and Imaging Research DatabaseDanne C Elbers, Nathanael R Fillmore, Feng-Chi Sung, et al.Patterns (New York, N.Y.)|November 20, 2020
Erratum: Recommendations for Services in a FAIR Data EcosystemHylke Koers, Daniel Bangert, Emilie Hermans, et al.Patterns (New York, N.Y.)|November 12, 2020
Using Machine Learning to Identify Adverse Drug Effects Posing Increased Risk to WomenPayal Chandak, Nicholas P TatonettiPatterns (New York, N.Y.)|July 21, 2021
Predicting material microstructure evolution via data-driven machine learningElizabeth J KautzPatterns (New York, N.Y.)|July 21, 2021
Super-compression of large electron microscopy time series by deep compressive sensing learningSiming Zheng, Chunyang Wang, Xin Yuan, et al.Patterns (New York, N.Y.)|July 21, 2021
Hydrogen storage in MOFs: Machine learning for finding a needle in a haystackLawson T Glasby, Peyman Z MoghadamPatterns (New York, N.Y.)|May 24, 2022
Relevance, redundancy, and complementarity trade-off (RRCT): A principled, generic, robust feature-selection toolAthanasios TsanasPatterns (New York, N.Y.)|May 24, 2022
Applications of knowledge graphs for food science and industryWeiqing Min, Chunlin Liu, Leyi Xu, et al.Patterns (New York, N.Y.)|May 24, 2022
Reliance on metrics is a fundamental challenge for AIRachel L Thomas, David UminskyPageof 91