Omics data integration with o2plsda
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Updated
Jan 12, 2024 - R
Omics data integration with o2plsda
Adversarial autoencoders for MHCI epitope and immunogenicity prediction
[EMBC 2022] Multi-agent Feature Selection for Integrative Multi-omics Analysis
The documented analysis of the results reported in Akol et al., 2023 as R markdowns, Galaxy histories and jupyter logs..
PhD thesis on data integration on inflammatory bowel disease
Code for the crb2a multi omics manuscript
Personal website
This is a repository to show my experience analyzing different kinds of Omics data.
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
Repo for testing multiple papers related to multi-omics
a multiomics approach on lung cancer (lung subtypes approach in https://github.com/arriagajorge/Lung-Cancer-Multi-Omics-subtype)
The SUbgraph BAsed mulTI-OMIcs Clustering (SUBATOMIC) framework infers interpretable modules with a specific topology.
SCOTCH is a Single-Cell multi-modal integration method leveraging the Optimal Transport algorithm and a cell matCHing strategy
Accompanying code for Image2Omics
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
Course site for STAT 992 - Spring 2023 at UW Madison.
Tutorial on survival modelling with omics data
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