Mutual Information Tools for protein Sequence analysis in Julia
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Updated
May 31, 2024 - Julia
Mutual Information Tools for protein Sequence analysis in Julia
Mutual Information-based Non-linear Clustering Analysis
Python module for computing Symbolic Mutual Information and symbolic Transfer of Entropy
Information-theoretic social neuroscience analyses, particularly for hyperscanning paradigms
Scalable Tool for Gene Network Reverse Engineering
[Paper][Preprint 2024] Mixture of Modality Knowledge Experts for Robust Multi-modal Knowledge Graph Completion
Estimating Copula Entropy (Mutual Information), Transfer Entropy (Conditional Mutual Information), and the statistics for multivariate normality test and two-sample test, and change point detection in Python
Feature engineering is the process of converting raw data into a more accessible format, optimizing it for effective utilization in machine learning models.
Mutual information estimators and benchmark
Various integrations to the Schrodinger ecosystem. With major interest on analysis tools for Molecular Dynamics simulations run with Desmond.
An automated and simple tool for fast quality analysis of animal MRI
Python3 binding to mRMR Feature Selection algorithm (currently not maintained)
JIDT: Java Information Dynamics Toolkit for studying information-theoretic measures of computation in complex systems
Easy Nearest Neighbor Estimation of Mutual Information
Signal Processing Toolkit, including ML models with visualization
in this section will be numerical feature selection on diabetes dataset
[NN 2024] Towards Generalizable Graph Contrastive Learning: An Information Theory Perspective
"Interactive Polar Diagrams for Model Comparison" by Aleksandar Anžel, Dominik Heider, and Georges Hattab
This is our standard library for nonlinear analysis. Many of these functions are the same we use in our services. We do have additional methods that are not public but could be made available in a future release. If you are interested in learning more, attending our workshops or webinars or using our data analysis services please contact bmchnon…
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