Spatial-eXpression-R: Cell type identification (including cell type mixtures) and cell type-specific differential expression for spatial transcriptomics

MultiNicheNet: a flexible framework for differential cell-cell communication analysis from multi-sample multi-condition single-cell transcriptomics data

An R package to plot interactive three-way differential expression analysis

Example workflows for refine.bio data

DEbPeak - Analyze and integrate multi-omics to unravel the regulation of gene expression.

Yet another single-cell analysis toolkit

Collection of walkthrough tutorials on how to use Tweedieverse for differential analysis of omics data.

Deconvolution of bulk RNA-seq data using single-cell RNA-seq data as reference

Integrated Differential Expression and Annotation

BFDCA: A Comprehensive Tool of Using Bayes Factor for Differential Co-Expression Analysis

Small non-coding RNA analysis template for analysing Illumina small RNAseq data.

Machine learning in breast cancer neoadjuvant treatment response prediction.

Differential gene expression data from the human central nervous system across Alzheimer’s disease, Lewy body diseases, and ALS-FTD.

Transcriptional differences between Miscanthus hybrids with contrasting starch and sucrose concentrations and biomass production

code and data relating to the scLANE revision

🎑Student project - steganography in *.bmp images 🏢

RNA-Seq Data Analysis in R: From Raw Counts to Differential Expression Analysis

Data analysis and integration of several transcriptomics studies to uncover genes and co-expression networks associated with the ageing process.

bulk-RNAseq analysis for Transcriptomics Course 2021 (MSc Bioinformatics for Computational Genomics)

In this lab we will perform a differential expression analysis starting from scratch. Doxorubicin is a commonly prescribed cancer drug, but one of its side effects is cardiotoxicity. This drug damages heart cells by binding to the protein topoisomerase-II beta, or Top2b.