EcoTyper is a machine learning framework for large-scale identification of cell states and cellular ecosystems from gene expression data.
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Updated
Dec 3, 2022 - R
EcoTyper is a machine learning framework for large-scale identification of cell states and cellular ecosystems from gene expression data.
integrated RNA-seq Analysis Pipeline
a fully Bayesian approach to deconvolve tumor microenvironment
User-friendly tool to infer cell-cell interactions and communication from gene expression of interacting proteins
single-cell and bulk RNA-seq analyses from counts → pathways → drug candidates.
a web-based R shiny application that wraps DESeq2 R package
Workflow management with Nextflow and nf-core
The gEAR Portal was created as a data archive and viewer for gene expression data including microarrays, bulk RNA-Seq, single-cell RNA-Seq and more.
Analysis and Interpretation of Bulk RNA-Seq Data using Bioconductor
Code base for the Grant, Morales-Nebreda, and Markov et al., “Circuits between infected macrophages and T cells in SARS-CoV-2 pneumonia” Nature (2021) paper
Analysis pipeline for bulk RNA-seq data
An R tool to detect and correct batch-effects in gene-expression data (Microarray and bulk-RNAseq))
CATD: Critical Assessment of Transcriptomics Deconvolution
A script used to calculate percent spliced-in (PSI) values from bulk RNA sequencing data.
In this repository, I try to replicate the results of Rodriguez2017
Multi-subject Single Cell Deconvolution
scRNA Analysis tutorials
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