Bioconductor cheat sheet
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Updated
Feb 17, 2022 - R
Bioconductor cheat sheet
🍪 SEnsible Step-wise Analysis of DNA MEthylation BeadChips
R package for normalizing RNA-seq data to make them comparable to microarray data.
🔬 R package: Analysis of Large Affymetrix Microarray Data Sets
R package for visualization of omics data
Temporal Integrative Genomics Analysis in R
Bayesian Gene Selection Criterion (BGSC) approach
scrape REVIGO Gene Ontology web app and plot results
Simple to use package for OMICS data analysis (featuring limma, WGCNA, GSEA)
Analysis of gene expression in umbilical cord blood from ASD, Non-TD, and TD subjects in the MARBLES and EARLI studies
Utilities for processing and analyzing HIPC gene expression data in ImmuneSpace
Affymetrix OncoScan / OncoScan_CNV processing using apt-copynumber-onco-ssa (2.4.0)
R package implementations and interfaces to In silico research group's bioinformatics toolbox inbix
This R script is used to analyze microarray data acquired by an Agilent SureScan Microarray Scanner.
plant microarray analysis
Affymetrix miRNA4.1 / oligo package / pd.mirna.4.1
Affymetrix CytoScan (750k / HD) processing using apt-copynumber-cyto-ssa (2.4.0)
A Snakemake workflow to analyse Illumina methylation arrays
Add a description, image, and links to the microarray topic page so that developers can more easily learn about it.
To associate your repository with the microarray topic, visit your repo's landing page and select "manage topics."