Fast embedding ot multidimensional datasets, great for cytometry data
-
Updated
Jul 5, 2022 - R
Fast embedding ot multidimensional datasets, great for cytometry data
Easily install and load packages from the tidyomcis ecosystem
An R package for analyzing high-dimensional cytometry data using the tidyverse.
Code and results from TotalSeqC antibody titration and pipeline benchmarking for CITE-seq experiments
Integration of multi-batch cytometry datasets
Temporal clustering and tracking algorithm which fuses on FlowSOM and ChronoClust, specifically designed for analysing temporal cytometry data
An R Interactive Shiny Application for the Analysis of Imaging and Conventional Flow Cytometry
Tools for Imaging Flow Cytometry
HDStIM: High Dimensional Stimulation Immune Mapping
Data for Imaging Flow Cytometry
Flow/Mass Cytometry Gating via Spatial Kernel Density Estimation
R scripts to reproduce analyses in our paper comparing clustering methods for high-dimensional cytometry data
R scripts to help with your flow cytometry analysis. Batch index export and overlays
PICAFlow: a complete R workflow dedicated to flow/mass cytometry data, from data pre-processing to deep and comprehensive analysis.
Add a description, image, and links to the cytometry topic page so that developers can more easily learn about it.
To associate your repository with the cytometry topic, visit your repo's landing page and select "manage topics."