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Patterns (New York, N.Y.)|September 20, 2022
Accurate prediction of virus-host protein-protein interactions via a Siamese neural network using deep protein sequence embeddingsSumit Madan, Victoria Demina, Marcus Stapf, et al.Patterns (New York, N.Y.)|September 20, 2022
Machine-learning-assisted discovery of highly efficient high-entropy alloy catalysts for the oxygen reduction reactionXuhao Wan, Zhaofu Zhang, Wei Yu, et al.Patterns (New York, N.Y.)|December 15, 2021
Differential privacy for public health data: An innovative tool to optimize information sharing while protecting data confidentialityAmalie Dyda, Michael Purcell, Stephanie Curtis, et al.Patterns (New York, N.Y.)|December 24, 2021
Common-sense approaches to sharing tabular data alongside publicationNicholas J Tierney, Karthik RamPatterns (New York, N.Y.)|December 24, 2021
Discover immunotherapy biomarkers from single-cell cytometry dataBeibei Ru, Peng JiangPatterns (New York, N.Y.)|December 24, 2021
Intersectionality and reflexivity-decolonizing methodologies for the data science processA E BoydPatterns (New York, N.Y.)|November 25, 2021
Fairness and accountability of AI in disaster risk management: Opportunities and challengesCaroline M Gevaert, Mary Carman, Benjamin Rosman, et al.Patterns (New York, N.Y.)|October 24, 2022
A review of explainable AI in the satellite data, deep machine learning, and human poverty domainOla Hall, Mattias Ohlsson, Thorsteinn RögnvaldssonPatterns (New York, N.Y.)|October 24, 2022
SELFIES and the future of molecular string representationsMario Krenn, Qianxiang Ai, Senja Barthel, et al.Pageof 92