Case Studies

Genotype-Tissue Expression

We use Brainome to classify tissue type based on RNA-seq data.


Classify tissue types based on RNA seq-data

The Data:

16K observations; 56K features (genes); 21 classes


In 1.5 hours, BTC produces a model that achieves 98.69% accuracy and is only 478 Kilobytes in size.*
273 predictive features identified

*Run on 48 Core AMD Ryzen 3960X, 128 GB RAM

Audio Study

Build an Audio detector using 10 neurons in less than 1 day

Ovarian Cancer Study

Find the key genes expression out of 21,000 for ovarian cancer diagnosis

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