Additional Tutorials
ImmPort Data - Lab tests and Assessment Exploration - SDY4
This tutorial goes through how to extract Assessment and Lab Test data from one ImmPort study, convert a long and narrow data structure to a short and wide one, and display a particular set of results.
The analysis code is written in Python, using the popular pandas, matplotlib abd seaborn libraries.
- Analysis in Python, TSV input - Jupyter notebook -- HTML
ImmPort Data - Flow Cytometry Derived Results Exploration - SDY736
This tutorial goes through how to obtain and analyze demographics and Flow Cytometry analysis derived data from one ImmPort study, bringing together Subject information with FCS derived data.
The analysis code is written in Python, using the popular pandas, matplotlib abd seaborn libraries.
- Analysis in Python, TSV input - Jupyter notebook -- HTML
ImmPort Data - HAI data re-analysis - SDY212
This tutorial is an example of re-analysis of an Influenza Vaccine Response Study using HAI (hemagglutination inhibition) assays. The tutorial goes through how to acquire, analyze, and display the demographic and HAI assay data from one study in ImmPort.
There are two versions of the analysis code, one written in R and the other in Python. Both versions complete the same analysis steps and render graphic summaries of the results. The analysis written in R can be run either on the MySQL version of the data download or on tab-separated formatted files.
-
Analysis in R, MySQL input - HTML -- R Code -- R Markdown
-
Analysis in R, TSV input - HTML -- R Code -- R Markdown
-
Analysis in Python, TSV input - Jupyter notebook - HTML
ImmPort Data - DeepLearning of Cytometry Data
This tutorial builds a tailored deep-learning model for CyTOF data to diagnosis latent Cytomegalovirus infection.
- Analysis in Python, TSV input - Jupyter notebook -- HTML
Exploratory Data Analysis Basics
There are a lot of resources online to learn more about Exploratory Data Analysis (EDA). Here are a select few: