High-Dimensional Analysis
Tutorial: Make a tSNE Plot in FlowJo with Flow Cytometry Data
mfahlberg824
This tutorial describes how to use tSNE to analyze flow cytometry data in FlowJo, and also teaches advanced tSNE visualizations.
A Basic Overview of Using t-SNE to Analyze Flow Cytometry Data
mfahlberg824
t-SNE is an algorithm used for arranging high-dimensional data points in a two-dimensional space so that events which are highly related by many variables are most likely to aggregate closely together.
Case Study 1 Part 2: Normalization and Preliminary Analyses
mfahlberg824
In Case Study 1 Part 2, I explain the process of data normalization, or aligning peaks of data to make gating quicker and easier, as well as make the data suitable for clustering analyses.
Case Study 1 Part 1: Introduction, Data Cleaning and Pre-processing
mfahlberg824
In Case Study 1 Part 1 I use FCS files publicly available from FlowRepository to go through a detailed analysis of a dataset, from data cleaning to sophisticated cluster-based data extraction.
