Omics data integration with o2plsda
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Updated
Jan 12, 2024 - R
Omics data integration with o2plsda
INTEND (IntegratioN of Transcriptomic and EpigeNomic Data), a novel algorithm for integrating gene expression and DNA methylation datasets covering disjoint sets of samples
R Shiny application for the multi-omics analysis of inflammatory bowel disease
a multiomics approach on lung cancer (lung subtypes approach in https://github.com/arriagajorge/Lung-Cancer-Multi-Omics-subtype)
Code for the crb2a multi omics manuscript
mND uses multi-layer Network Diffusion to find gene networks that contain high scoring genes. It considers two or more "layers" of genome-wide scores and an interactome.
Network-based analysis of omics with multi-objective optimization
Data and analysis results for the MoTrPAC PASS1B rat white adipose tissue manuscript
Analysis of the MoTrPAC endurance exercise training study in 6-month-old rats
MultiNEP: a Multi-omics Network Enhancement framework for Prioritizing disease genes and metabolites simultanuously
Evaluating metabolic and genomic data for predicting grain traits under high night temperature stress in rice
An R shiny application for visualization of EndoC-bH1 and human islet genomic data
📊 📋 Bioconductor R package with Graphical Interface to handle multi-omic data by Classification, Enrichment and Network inference.
Evaluation of cell cycle arrest from transcriptomics data.
Official repository for GeneLab AWGs
R package for COCA: Cluster-of-Clusters Analysis
R package for KLIC: Kernel Learning Integrative Clustering
Multi-layered network-based pathway activity inference using directed random walks
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