A collection of visualization examples for Flow Cytometry Data
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Updated
Nov 10, 2017 - JavaScript
A collection of visualization examples for Flow Cytometry Data
batch-titration is a container that allows for one or more fcs files to be automatically processed (using AWS Batch or other runners). It produces an html document.
parse fcs files in s3 and store various metadata in dynamodb
Django-based Repository for Flow Cytometry Data
Opens two or more FCS files and creates new files that contain only the Channels common to all.
Plots the NRS (non-redundancy score) of selected markers from one or more FCS files
Plots the MDS (Multi-dimensional scaling) of 3 or more FCS files.
R Script to plot the average event rate in flow or mass cytometry (FCS) files
Very fast method to read number of events from some / all FCS files in a directory
R package to cluster single-cell data and generate features that can be used for model building
Fast auto-cleanup of CyTOF data
R package for interactive visualization and analysis of single-cell data
R package for pre-processing of mass and flow cytometry data
R package for analysis of single-cell data using graphs
PICAFlow: a complete R workflow dedicated to flow/mass cytometry data, from data pre-processing to deep and comprehensive analysis.
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