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Gene Set Enrichment Analysis and Over Representation Analysis analysis using R
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 module of the project allows you to use clusterprofiler in order to perform ORA and GSEA analysis (over-representation analysis and gene set enrichment analysis) using GeneOntology (GO), disease ontology (DO), KEGG, reactome eg...
Web application that enables users to compare the expression of genes or enrichment of gene sets between different molecular subtypes of colorectal cancer
Snakemake pipeline to benchmark 11 functional pathway annotation systems
Role of CXCL9/10/11, CXCL13 and XCL1 in recruitment and suppression of cytotoxic T cells in renal cell carcinoma
Expression, biological and clinical relevance of the collagen pathway genes in prostate carcinoma
Gene set enrichment analysis from scRNA seq data : in search of the original tissue