A data-centric flow/mass cytometry automated analysis framework
Spatially-resolved Transcriptomics via Epitope Anchoring
Scalable Cytometry Image Processing (SCIP) is an open-source tool that implements an image processing pipeline on top of Dask, a distributed computing framework written in Python. SCIP performs projection, illumination correction, image segmentation and masking, and feature extraction.
Pipeline for flow cytometry anlaysis
Cytometry analysis pipeline for large and complex datasets (CAPX) (beta)
HDStIM: High Dimensional Stimulation Immune Mapping
PICAFlow: a complete R workflow dedicated to flow/mass cytometry data, from data pre-processing to deep and comprehensive analysis.
R scripts to use various flow cytometry analyses
Cytometry Biotechvana is a prototype of a Shiny application that allows an interactive workflow for flow cytometry data analysis.
Flow Cytometry analysis in R | Proteomics
Pipeline for the analysis of single-cell familial data from multiplex clonal assay
Autogating for gate 1 and gate 2 with U-Net.
(DRAFT) This repository contains the code and data for the paper [Title] in [Journal] ([date of publication])
Google Colab interface to HDStIM (High Dimensional Stimulation Immune Mapping)
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