Article

Multivariate Mutual Information based Feature Selection for Predicting Histone Post-Translational Modifications in Epigenetic Datasets

2025-06-01

Abstract excerpt

Mutual information (MI) has been traditionally employed in many areas including biology to identify the non-linear relationships between features. This technique is particularly useful in the biological context to identify features such as genes, histone post-translational modifications (PTMs), transcriptional factors etc . In this work, instead of considering the conventional pairwise MI between PTM features, we...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 413f7891-c4bc-5b57-8af5-14e16e3ec167
DOI: 10.1101/2025.05.28.656539

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 8 closest

Multivariate Mutual Information based Feature Selection for Predicting Histone Post-Translational Modifications in Epigenetic DatasetsDOI 10.1101/2025.05.28.656539Read

A comparison of feature selection methodologies and learning algorithms in the development of a DNA methylation-based telomere length estimatorSemantic proximity Read

High-dimension to high-dimension screening for detecting genome-wide epigenetic regulators of gene expressionSemantic proximity Read

A multimodal framework for detecting direct and indirect gene-gene interactions from large expression compendiumSemantic proximity Read

Novel feature selection methods for construction of accurate epigenetic clocksSemantic proximity Read

Characterization of histone modification patterns and prediction of novel promoters using functional principal component analysis.Semantic proximity Read

Principal component analysis based methods in bioinformatics studies.Semantic proximity Read

A Bayesian approach to accurate and robust signature detection on LINCS L1000 dataSemantic proximity Read

Semi-Supervised Maximum Discriminative Local Margin for Gene Selection.Semantic proximity Read