Penalized regression for multiple types of many features with missing data using expectation-maximization (EM) algorithm.
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Updated
Feb 21, 2024
Penalized regression for multiple types of many features with missing data using expectation-maximization (EM) algorithm.
MATLAB and R Code for sparse GCA
Hidden Markov Random Field Model - Inferring Gene-Disease Association by an Integrative Analysis of eQTL GWAS and Protein-Protein Interaction data
Code for Walker, Saunders, Rai et al., (2021).
The statistical utility for RBP functions (SURF)
Repository for the MetaBridge Shiny app.
MONTI is a tool for analyzing large multi-omics cancer cohort data in association with clinical featuers
🕸 Network-based multi-omic integration of metabolomics data.
A Python package for metabolite enrichment analysis.
A Decomposition-based Canonical Correlation Analysis for High-dimensional Datasets (JASA-20 paper)
Tool for integrative gene-based association analysis using GWAS summary stats
An unsupervised approach for the integrative analysis of single-cell multi-omics data
Bi-order integration (in silico multi-omics data) of single cell RNA sequencing, single cell ATAC sequencing, spacial transcriptomics and CyTOF data
Colocalization analysis of genetic association signals
Natural language processing of Gene Expression Omnibus data
TCGAbiolinks
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