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Patterns (New York, N.Y.)|May 26, 2021
AutoStepfinder: A fast and automated step detection method for single-molecule analysisLuuk Loeff, Jacob W J Kerssemakers, Chirlmin Joo, et al.
Patterns (New York, N.Y.)|August 25, 2021
Interpretable systems biomarkers predict response to immune-checkpoint inhibitorsÓscar Lapuente-Santana, Maisa van Genderen, Peter A J Hilbers, et al.
Patterns (New York, N.Y.)|August 25, 2021
HeTDR: Drug repositioning based on heterogeneous networks and text miningShuting Jin, Zhangming Niu, Changzhi Jiang, et al.
Patterns (New York, N.Y.)|August 25, 2021
Reinforcing the role of competition platformsJorge Montalvo Arvizu, Lachlan R Mason, John Moriarty
Patterns (New York, N.Y.)|June 24, 2020
A Primer on Biodefense Data Science for Pandemic PreparednessEric Perakslis
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.)|September 20, 2022
Missing data as dataAnahid Basiri, Chris Brunsdon
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 Ram
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