Single-cell RNA-seq AI analysis has become the default way to make sense of the millions of expression measurements a single experiment can now generate. Turning raw sequencing counts into ...
AI Expert at the UN & European Commission, Board Member at the ACM, and Director of AI, Data & Platform at Zalando You’ve built an AI agent that works in your laptop. It automatically chains tools ...
Seitz, E.E., McCandlish, D.M., Kinney, J.B., and Koo P.K. Uncovering the Mechanistic Landscape of Regulatory DNA with Deep Learning. bioRxiv, October 8, 2025. https ...
The belief rule base is crucial in expert systems for intelligent diagnosis of equipment. However, in the belief rule base for fault diagnosis, multiple antecedent attributes are often initially ...
BIRCH is an alternative to MinibatchKMeans and is designed for large datasets. The algorithm converts data into a tree structure, facilitating efficient clustering. BIRCH allows for initial clustering ...
This repo contains the ClustAssess R package, which provides a set of tools for evaluating clustering robustness. Please check the ClustAssessPy module for a Python implementation of the ClustAssess ...
Atomic neural networks (ANNs) constitute a class of machine learning methods for predicting potential energy surfaces and physicochemical properties of molecules and materials. Despite many successes, ...
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