abodein/timeOmics_BioC: Time-Course Multi-Omics data integration

timeOmics is a generic data-driven framework to integrate multi-Omics longitudinal data measured on the same biological samples and select key temporal features with strong associations within the same sample group. The main steps of timeOmics are: 1. Plaform and time-specific normalization and filtering steps; 2. Modelling each biological into one time expression profile; 3. Clustering features with the same expression profile over time; 4. Post-hoc validation step.

Getting started

Package details

Bioconductor views Classification Clustering DimensionReduction FeatureExtraction GenePrediction ImmunoOncology Metabolomics Metagenomics Microarray MultipleComparison Proteomics Regression Sequencing Software TimeCourse
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
abodein/timeOmics_BioC documentation built on April 10, 2024, 10:01 a.m.