Topic: differentially-expressed-genes Goto Github
Some thing interesting about differentially-expressed-genes
Some thing interesting about differentially-expressed-genes
differentially-expressed-genes,Microarray Analysis Pipeline in Python
User: allielarocco
differentially-expressed-genes,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).
User: chenyongrowan
differentially-expressed-genes,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...
User: francescopatane96
differentially-expressed-genes,Polytranscript risk scoring (PTRS)
User: hessj
differentially-expressed-genes,RZiMM: A Regularized Zero-inflated Mixture Model for scRNA-seq Data
User: skadieye
differentially-expressed-genes,Pancreatic Cancer Biomarkers Identification Codes & Files
User: srizon143005
differentially-expressed-genes,Minimal but fully logged pipeline for RNA-seq using FastQC, TrimGalore!, Kallisto and Sleuth to get from raw to differentially expressed genes.
User: thomazggr
differentially-expressed-genes,
Organization: wanluliulab
Home Page: https://labw.org/yasim-docs/
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