Gene Set Enrichment Analysis and Over Representation Analysis analysis using R
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Gene Set Enrichment Analysis and Over Representation Analysis analysis using R
A high-performance variant of pre-ranked Gene Set Enrichment Analysis (GSEA) that is capable of testing gene sets where each gene has an expected direction of change from prior experiments.
Itraa: A gene-set enrichment pipeline for selection and gene-based analyses.
Web application that enables users to compare the expression of genes or enrichment of gene sets between different molecular subtypes of colorectal cancer
Deposited R scripts allow to execute a complete RNA-seq Pipeline, starting from sequence reads (FASTQ files) to mapping/annotate the genome using a reference, to counts the number of reads for every gene. when raw counts are obtained, DESeq2 module permits to find differentially expressed genes (DEG) and to perform statistical analysis. The last…
An R package for DNA methylation data length bias adjustment in gene set testing
Role of CXCL9/10/11, CXCL13 and XCL1 in recruitment and suppression of cytotoxic T cells in renal cell carcinoma
Assessing the effectiveness of endocrine therapy in breast cancer using RNAseq data
Expression, biological and clinical relevance of the collagen pathway genes in prostate carcinoma
The Tasmanian devil is endangered due to Devil Facial Tumour Disease (DFTD), a contagious cancer with no current treatment. Previous study has investigated the anticancer properties of Tasmanian devil cathelicidins. This report intends to reproduce the enrichment analysis results of the study and further analyze their data.
Gene set enrichment analysis from scRNA seq data : in search of the original tissue
This repository contains code for identifying potential biomarkers of 2022 mpox virus using transcriptomic and machine learning analysis.
Snakemake pipeline to benchmark 11 functional pathway annotation systems
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