HDStIM: High Dimensional Stimulation Immune Mapping
-
Updated
Oct 5, 2023 - R
HDStIM: High Dimensional Stimulation Immune Mapping
R package to identify and remove redundant information in bivariate flow cytometry data, in order to improve the quality of the training sets for machine learning algorithms.
A collection of code used to analyze flow cytometry and root density data
Code used to analyze and produce figures during tenure in the Translational Tumor Engineering Lab
Extract Fluorescence Distribution Data From FCS Files And Recalculate To Events Per Volume
Add a description, image, and links to the flowcytometry topic page so that developers can more easily learn about it.
To associate your repository with the flowcytometry topic, visit your repo's landing page and select "manage topics."