A framework for analyzing single-cell genomics data, in which geometrical properties are harnessed to obtain insights on cellular diversity, including precise clustering, clear visualizations, and ...
DeepFPlearn + [1] transforms chemical SMILES or InChIkeys into molecular graph representations for use in a graph neural network (GNN) that predicts an association to a target molecule, e.g., a ...
I am a huge fan of Danielle Navarro's book Learning Statistics with R. It is the most accessible statistics book I know of. My students love it. I love it. It's free, and it comes in not only R, but ...
Abstract: The structure of intelligent substation SCD file is complex, and there are many layers of information. Different functions have corresponding information basis, and often need to be ...
Article Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to ...
Modern cloud-based data infrastructures open new vistas for the deployment of scientometric data into the hands of practitioners. These infrastructures lower barriers to entry by making data more ...
In terms of seizure prediction, how to fully mine relational data information among multiple channels of epileptic EEG? This is a scientific research subject worthy of further exploration. Recently, ...
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