homes.sice.indiana.edu - Machine learning techniques have been successful in analyzing biological data because of their capabilities in handling randomness and uncertainty of data noise and in generalization. In this class, we will learn basics about probabilistic models...
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NVIDIA and the Arc Institute have introduced Evo 2, a groundbreaking AI model designed to understand, predict, and generate DNA sequences. This marks a major advancement in computational biology, offering scientists an unprecedented tool to decode...
github.com - Janggu is a python package that facilitates deep learning in the context of genomics. The package is freely available under a GPL-3.0 license.
Detail tutorial at https://janggu.readthedocs.io/en/latest/
USE...
www.nature.com - Because of the increasing size and inherent complexity of biological data, there has been an increase in the application of machine learning in biology to create useful and predictive models of the underlying biological processes. All machine...
modeloriented.github.io - The modelStudio package automates the explanation of machine learning predictive models. This package generates advanced interactive and animated model explanations in the form of a serverless HTML site.
It...
gitlab.com - CrowdGO is a protein Gene Ontology predictor using a meta approach, analyzing the predictions of other tools in order to get an improved precision and recall.
Please note that the CrowdGO snakemake workflow is currently only tested on Ubuntu. It...