30 skills found
jmzeng1314 / GEONo description available
nf-core / DifferentialabundanceDifferential abundance analysis for feature/ observation matrices from platforms such as RNA-seq
epigen / Dea LimmaA Snakemake workflow and MrBiomics module for performing and visualizing differential analyses of NGS data powered by the R package limma.
xjsun1221 / RSEM With Limma EdgeR Deseq2No description available
wasimaftab / LIMMA Pipeline ProteomicsLIMMA (an empirical Bayes method) pipeline for two group comparison in a proteomic experiment
ComputationalProteomics / NormalyzerDETools for normalization, evaluation of outliers, technical biases and batch effects and differential expression analysis.
yafeng / DEqMSDEqMS is a tool for quantitative proteomic analysis
wdecoster / DEA.RScript to automate differential expression analysis using DESeq2, edgeR or limma-voom
eonurk / RNA Seq Differential Analyses GuidelineA quick recap of widely used differential analyses methods in R for RNA-seq experiments
peterlipan / DE Rpy2Differential expression analysis: DESeq2, edgeR, limma. Realized in python based on rpy2
bjackman / LimmatLocal Immediate Automated Testing
XueyiDong / RNAseq123workshopWorkshop: RNA-seq analysis is easy as 1-2-3 with limma, Glimma and edgeR
cran / LimmaLinear Models for Microarray Data
UCSF-DSOS / Bulk RNA SeqRNA seq analysis using Bioconductor (analysis built on limma, edgeR)
dlaperriere / GEO Microarraysanalyze_geo_microarrays.py : Differential expression analysis of published microarrays datasets from the NCBI Gene Expression Omnibus (GEO)
firoziya / LimmaLanguage Interface Model for Machine Automation
shivaprasad-patil / LIMMA Python ImplementationLimma in Python
libscran / WeightedLowessA standalone C++ implementation of limma::weightedLowess.
csbg / SplineOmicsTimeseries analysis of -omics data can be carried out by fitting spline curves to the data and using limma for hypothesis testing. The obtained hits can be clustered based on the spline shape and then used for an over-representation (ORA) analysis.The R package SplineOmics streamlines this whole process and generates reports.
SJCaldwell / ShinyLimmaExtends Limma into a web-app GUI that allows non-programmers to utilize differential expression analysis in their research.
