Spatial-eXpression-R: Cell type identification (including cell type mixtures) and cell type-specific differential expression for spatial transcriptomics
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Updated
Jun 4, 2024 - HTML
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.
Integrated Differential Expression and Annotation
Deconvolution of bulk RNA-seq data using single-cell RNA-seq data as reference
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.
code and data relating to the scLANE revision
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.
Conducted scRNA-Seq analysis on human samples, performing differential expression, quality control, exploratory data analysis, and functional enrichment to compare wild-type and knock-out conditions.
RNA-Seq Data Analysis in R: From Raw Counts to Differential Expression Analysis
🎑Student project - steganography in *.bmp images 🏢
Data analysis and integration of several transcriptomics studies to uncover genes and co-expression networks associated with the ageing process.
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