limma
Here are 26 public repositories matching this topic...
Differential abundance analysis for feature/ observation matrices from platforms such as RNA-seq
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Aug 30, 2024 - Nextflow
DEqMS is a tool for quantitative proteomic analysis
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Jun 1, 2020 - R
Tools for normalization, evaluation of outliers, technical biases and batch effects and differential expression analysis.
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May 18, 2024 - R
A Snakemake workflow for performing and visualizing differential expression analyses (DEA) on NGS data powered by the R package limma.
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Aug 22, 2024 - R
A quick recap of widely used differential analyses methods in R for RNA-seq experiments
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Mar 12, 2020
Differential expression analysis: DESeq2, edgeR, limma. Realized in python based on rpy2
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May 7, 2021 - Jupyter Notebook
analyze_geo_microarrays.py : Differential expression analysis of published microarrays datasets from the NCBI Gene Expression Omnibus (GEO)
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Aug 1, 2021 - Python
Simple workflows for the isobaric-labeling proteomic data from Proteome Discoverer with ANOVA, t-testing, DEqMS/limma and annotation via fgsea
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May 19, 2022 - R
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/.
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Dec 16, 2020 - R
A selection of analytical approaches, tools, and utilities for the processing of microbiome data derived from either 16S rRNA amplicon sequencing or shotgun metagenomics.
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Feb 8, 2024 - R
Bioinformatic analysis of gene expression microarray profiles and DGEs on R and R studio
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Jul 17, 2024 - Jupyter Notebook
GSE147507 SARS-Cov-2 Dataset from Mt. Sinai
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Apr 4, 2020
This R script is used to analyze microarray data acquired by an Agilent SureScan Microarray Scanner.
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Jan 13, 2023 - R
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.
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Apr 17, 2023 - R
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.
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Feb 27, 2023 - R
Tuberculosis@LOG and NPR, Macrophage gene expression time series.
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Oct 25, 2017 - Python
Gene Expression analysis with BIG-DE
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Mar 7, 2021 - R
TCGA Colorectal Cancer RNA seq Data Analysis Pipeline
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Jul 6, 2022 - R
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