hally166 / R_flowcytometry_courseLinks
The files and presentation from the Cytometry Core Facility flow cytometry data analysis course in R
☆24Updated 6 years ago
Alternatives and similar repositories for R_flowcytometry_course
Users that are interested in R_flowcytometry_course are comparing it to the libraries listed below
Sorting:
- This is a tutorial to guide the analysis of RNAseq dataset using footprint based tools such as DOROTHEA, PROGENY and CARNIVAL☆56Updated 2 years ago
- kallisto | bustools workflow for pre-processing single-cell RNA-seq data☆118Updated 3 years ago
- R package to access DoRothEA's regulons☆152Updated last year
- SIB course on single cell transcriptomics by mostly using the Seurat pipeline☆84Updated 3 months ago
- published papers with a lot of data☆74Updated 7 months ago
- My youtube programming scripts☆58Updated 9 months ago
- This repository contains R code, with which you can create 3D UMAP and tSNE plots of Seurat analyzed scRNAseq data☆122Updated 2 years ago
- Data from Lewis, Barnes, Blighe et al., Cell Rep. 2019 Aug 27; 28(9): 2455–2470.e5.☆121Updated 5 years ago
- Convert Seurat objects to 10x Genomics Loupe files.☆142Updated 4 months ago
- A Toolkit for Construct Tree-shaped Trajectory for Flow and Mass Cytometry data☆28Updated 5 years ago
- Updated implementation of the GSEA-P R application for modern R distributions☆97Updated 3 years ago
- Easy single cell analysis platform for enrichment☆195Updated last week
- A continually expanding collection of cancer genomics notes and data☆108Updated 3 weeks ago
- Enables cellxgene to generate violin, stacked violin, stacked bar, heatmap, volcano, embedding, dot, track, density, 2D density, sankey a…☆159Updated last week
- Multi-sample multi-group scRNA-seq analysis tools☆209Updated last week
- SingleCellNet: classify single cells across species and platforms☆139Updated 2 years ago
- Interactively analyze single cell genomic data☆184Updated last month
- Accompanying code for the tutorial: Annotating single cell transcriptomic maps using automated and manual methods☆97Updated 2 years ago
- Batch effect adjustment based on negative binomial regression for RNA sequencing count data☆196Updated 5 years ago
- R client for the OmniPath web service☆147Updated last week
- Generate high quality, publication ready visualizations for single cell transcriptomics data.☆210Updated 3 months ago
- Cell types enrichment analysis☆204Updated last year
- Olink R package: A collection of functions to facilitate analysis of proteomic data from Olink. The goal of this package is to help users…☆121Updated this week
- A pipeline for droplet-based single-cell RNA-seq and spot-based spatial transcriptomics data secondary analysis implemented in the drake …☆13Updated 2 months ago
- Integrative pathway enrichment analysis of multivariate omics data☆115Updated 3 months ago
- The package wrapping the book, for deployment via the Bioconductor build system.☆94Updated last year
- Easily install and load packages from the tidyomcis ecosystem☆69Updated last week
- Mixed-effect model to test differences in cell type proportions from single-cell data, in R☆112Updated last week
- Cytometry dATa anALYsis Tools☆69Updated last month
- A wrapper for the kallisto | bustools workflow for single-cell RNA-seq pre-processing☆175Updated last week