Classification algorithms learn how to assign class labels to examples (observations or data points), although their decisions can appear opaque. A popular diagnostic for understanding the decisions ...
Digital Elevation Models (DEMs) are data files that provide height information about different locations on the planet or moon. In this project I used a DEM for Mars provided by the United States ...
Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Programming is a key transferable skill within the chemical sciences with applications ...
Molecular Biophysics and Structural Biology Graduate Program, University of Pittsburgh and Carnegie Mellon University, Pittsburgh, Pennsylvania 15260, United States Department of Structural Biology, ...
The Solar energetic particle analysis platform for the inner heliosphere (SERPENTINE, 2021–2024) is a 42-month long project funded through the H2020-SPACE-2020 call of the European Union’s Horizon ...
Mean shift clustering is a centroid-based algorithm effective for unsupervised learning applications. The algorithm shifts data points towards the mean of surrounding points to form clusters. Mean ...
Pastas is an open-source Python framework designed for processing, simulation and analysis of hydrogeological time series models. It has built-in tools for statistically analyzing, visualizing and ...
T cells patrol short peptides displayed by MHC molecules to protect the body from infection and cancer. While there are currently computational approaches to predict which peptides will bind to major ...
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