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Patterns (New York, N.Y.)|November 18, 2020
Tackling the Challenges of 21st-Century Open Science and Beyond: A Data Science Lab ApproachMichael J Hollaway, Graham Dean, Gordon S Blair, et al.Patterns (New York, N.Y.)|September 21, 2020
Operational Readiness of Data: The Next Challenge for Data Professionals?Kheeran DharmawardenaPatterns (New York, N.Y.)|December 9, 2020
Pancreatlas: Applying an Adaptable Framework to Map the Human Pancreas in Health and DiseaseDiane C Saunders, James Messmer, Irina Kusmartseva, et al.Patterns (New York, N.Y.)|December 9, 2020
Using Variational Multi-view Learning for Classification of Grocery ItemsMarcus Klasson, Cheng Zhang, Hedvig KjellströmPatterns (New York, N.Y.)|December 9, 2020
Preview of: A Primer on Motion Capture with Deep Learning: Principles, Pitfalls, and PerspectivesSarah CallaghanPatterns (New York, N.Y.)|December 9, 2020
Systematizing Effective Practice, Embedding It in Standard PracticeThe Uk Reproducibility Network Steering GroupPatterns (New York, N.Y.)|December 9, 2020
Inference and Prediction Diverge in BiomedicineDanilo Bzdok, Denis Engemann, Bertrand ThirionPatterns (New York, N.Y.)|March 22, 2021
Animal behavior and animal personality from a non-human perspective: Getting help from the machineOren ForkoshPatterns (New York, N.Y.)|March 22, 2021
Safe Blues: The case for virtual safe virus spread in the long-term fight against epidemicsRaj Dandekar, Shane G Henderson, Hermanus M Jansen, et al.Patterns (New York, N.Y.)|March 22, 2021
Toward machine learning-enhanced high-throughput experimentation for chemistrySarah CallaghanPageof 93