Case Studies
Genotype-Tissue Expression
We use Brainome to classify tissue type based on RNA-seq data.
Problem:
Classify tissue types based on RNA seq-data
The Data:
16K observations; 56K features (genes); 21 classes
Result:
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
Ovarian Cancer Study
Find the key genes expression out of 21,000 for ovarian cancer diagnosis
