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Use PCA, t-SNE, Scree Plots, and K-means clustering to explore genetic data!

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Exploratory Genetic Data Analysis Tool

EGDAT aids users in completing exploratory data analysis on large amounts of gene expression data. Currently, EGDAT supports PCA and t-SNE both independantly and in conjunction. Users can select which datasets they wish to work with and with what dimensionality and the corresponding coordinate and scree plots will display.

You can now overlay K-means clustering over the dimensionality reduction algorithms previously implemented. Look at those pretty little clusters. alt text

PCA + t-SNE yields much more distinguishable clusters! Woah!

alt text

PCA: alt text

Corresponding Scree Plot:

alt text

for more implementation specific details checkout the documentation folder.

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Use PCA, t-SNE, Scree Plots, and K-means clustering to explore genetic data!

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