differentially-expressed-genes
There are 0 repository under differentially-expressed-genes topic.
allielarocco / Microarray-Analysis
Microarray Analysis Pipeline in Python
Language:Jupyter Notebook 18Srizon143005 / PancreaticCancerBiomarkers
Pancreatic Cancer Biomarkers Identification Codes & Files
Language:Python 7francescopatane96 / RNA-seq_Pipeline
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...
Language:Jupyter Notebook 2- Language:R 2
- Language:R 1
chenyongrowan / DEGage
DEGage is a novel model-based method for gene differential expression analysis between two groups of scRNA-seq count data. It employs a novel family of discrete distributions for describing the difference of two NB distributions (named DOTNB).
Language:R 0thomazggr / MinPipe
Minimal but fully logged pipeline for RNA-seq using FastQC, TrimGalore!, Kallisto and Sleuth to get from raw to differentially expressed genes.
Language:Python- Language:Python
