Exploration of some patients clinical variables.

Last update: Jan 20, 2022

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Deep Learning Answer_ALS_clinical_data

Overview

Answer_ALS_clinical_data

Exploration of some patients clinical variables.

All the clinical / metadata data is available here: https://data.answerals.org/home

For precision on dataset : AnswerALS.pdf

2 notebooks : Exploration: EDA and build a simple TABLE of patients and mutations. Table_extended : build the TABLE with all the variables (shown in the presentation).

In the folder, all .csv files and cytoscape graph.

Searching possible clusters / patterns / special patients.

To do so, we are using a few variables, and representing patients-variable bipartite graph. Then by using a standard weighted projection on the patients & the variables nodes, we plot the graph of relation between patients & variables.

The chosen variables :

Through the lens of a PCA

Bipartite graph

Variable weighted projected graph

Patients weighted projected graph

2 cluster are visible

Center of the "big" cluster

Full Presentation :

AnswerALS.pdf

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