Topic: limma Goto Github
Some thing interesting about limma
Some thing interesting about limma
limma,Methods overview with scripts looking at mtDNA and haplogroup association with CPTAC LUAD study.
User: aobermayer4
limma,The Tasmanian devil is endangered due to Devil Facial Tumour Disease (DFTD), a contagious cancer with no current treatment. Previous study has investigated the anticancer properties of Tasmanian devil cathelicidins. This report intends to reproduce the enrichment analysis results of the study and further analyze their data.
User: arashsm79
Home Page: https://www.nature.com/articles/s41598-023-39901-0
limma,GSE147507 SARS-Cov-2 Dataset from Mt. Sinai
Organization: benaroyaresearch
limma,
Organization: bigslu
Home Page: https://bigslu.github.io/2022_ASM_Microbe_RNAseq/index.html
limma,Tools for normalization, evaluation of outliers, technical biases and batch effects and differential expression analysis.
Organization: computationalproteomics
Home Page: http://quantitativeproteomics.org/normalyzerde
limma,Simple workflows for the isobaric-labeling proteomic data from Proteome Discoverer with ANOVA, t-testing, DEqMS/limma and annotation via fgsea
User: dev-ev
limma,analyze_geo_microarrays.py : Differential expression analysis of published microarrays datasets from the NCBI Gene Expression Omnibus (GEO)
User: dlaperriere
limma, A quick recap of widely used differential analyses methods in R for RNA-seq experiments
User: eonurk
limma,A Snakemake workflow for performing and visualizing differential expression analyses (DEA) on NGS data powered by the R package limma.
Organization: epigen
Home Page: https://epigen.github.io/dea_limma/
limma,This scripts involves five major steps including GEO dataset download, data normalization, data manipulation, fetching phenodata and feature data and differentially expressed genes (DEGs) analysis using R and bioconductor packages.
User: hemangini09
limma,Performing RNA-seq data analysis with limma package
User: hemangini09
limma,Differential Gene Expression (DGE) Analysis in Curated Microarray Data of Breast Cancer Subtypes
User: kmyafi
limma,Provides easy to use, objective oriented functions for preprocessing methylation data produced by an Illumina Infinium BeadChip and detecting differentially methylated positions and regions within the DNA.
Organization: licmleuven
limma,EuroBioc2020 SPEAQeasy workshop https://eurobioc2020.bioconductor.org by Nick Eagles and Josh Stolz. For more information about SPEAQeasy check http://research.libd.org/SPEAQeasy/. For an example on how to use this RNA-seq processing pipeline and analyze the output files check http://research.libd.org/SPEAQeasy-example/.
Organization: lieberinstitute
Home Page: http://research.libd.org/SPEAQeasyWorkshop2020/
limma,Gene Expression analysis with BIG-DE
Organization: lsuhscbioinformatics
Home Page: http://big.bio.lsuhsc.edu:3838/
limma,Bioinformatic analysis of gene expression microarray profiles and DGEs on R and R studio
User: mejian1
limma,A selection of analytical approaches, tools, and utilities for the processing of microbiome data derived from either 16S rRNA amplicon sequencing or shotgun metagenomics.
Organization: mucosal-immunology-lab
limma,TCGA Colorectal Cancer RNA seq Data Analysis Pipeline
User: nedaghohabi
limma,Differential abundance analysis for feature/ observation matrices from platforms such as RNA-seq
Organization: nf-core
Home Page: https://nf-co.re/differentialabundance
limma,Differential expression analysis: DESeq2, edgeR, limma. Realized in python based on rpy2
User: peterlipan
limma,Tuberculosis@LOG and NPR, Macrophage gene expression time series.
User: rgarcia-herrera
limma,This R script is used to analyze microarray data acquired by an Agilent SureScan Microarray Scanner.
User: samthilmany
limma,DEqMS is a tool for quantitative proteomic analysis
User: yafeng
limma,Normalization, outlier detection, statistical analysis, and visualization of microarray data from 79 tumor samples to identify differentially expressed genes between recurrent and non-recurrent prostate cancer.
User: zjyoung9490
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