Multi-omics projects on High grade serous ovarian cancer samples
-
Updated
Sep 27, 2023 - R
Multi-omics projects on High grade serous ovarian cancer samples
a multiomics approach on lung cancer (subtype approach)
Evaluating the effect of SGCCA hyperparameters
R package for the correlation-based network analysis of methylation data
STREAM: enhancer-driven gene regulatory networks inference from single-cell RNA-seq and ATAC-seq data
"DNA methylation and gene expression integration in cardiovascular disease"
Multi-omics analysis of LFQ proteomics and transcriptomics of an ALMS1 gene knockout cell model after TGF-B pathway stimulation.
util scripts for various omics data analysis
Multi-omics differential expression and integration using PPI networks
A ShinyApp for visualization and explorering Cellular Indexing of Transcriptomes and Epitopes by Sequencing (CITE-seq) data
R package for the correlation-based network analysis of methylation data
An R package to access to Omics Discovery Index API
Multilayer Network analysis of medulloblastoma patients
This repository contains different scripts to automate and visualize analysis performed for the "Integration of proteomics with genomics and transcriptomics increases the diagnosis rate of Mendelian disorders"
R package for de novo pathway enrichment using KeyPathwayMiner
Regional Association of Methylation variability with the Exposome and geNome (RAMEN) is an R package whose goal is to identify Variable Methylated Regions (VMRs) in microarray DNA methylation data. Additionally, using Genotype (G) and Environmental (E) data, it can identify which G, E, G+E or GxE model better explains this variability.
Project analyzing multi-omics genomics data from a COVID-19 study.
Epi-Impute: single-cell RNA-seq imputation via integration with single-cell ATAC-seq data
It contains the functional code to analyze P2 scRNA-seq and scATAC-seq data.
Add a description, image, and links to the multiomics topic page so that developers can more easily learn about it.
To associate your repository with the multiomics topic, visit your repo's landing page and select "manage topics."