clue.io domain details

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A dimensionality reduction technique particularly well suited for visualizing data. (For references, see  https://lvdmaaten.github.io/tsne )

The parameters that were used for running t-SNE here are: 50 initial dimensions, perplexity of 30, and theta of 0.5. For datasets with

A dimensionality reduction technique in which the two principal components are chosen to have the largest possible variance.

Links to clue.io (3)

• theartofbiology.net Home - Alto Predict
• cmappy.readthedocs.io cmapPy: Python utilities for Connectivity Map Resources — cmapPy 3.0.0 documentation
• cmapr.readthedocs.io cmapR: R utilities for Connectivity Map Resources — cmapR 1.0.0 documentation