-Omics biomarker identification pipeline for translational medicine.

Laura Bravo-Merodio John A WilliamsGeorgios V GkoutosAnimesh Acharjee

Published in: Journal of translational medicine (2019)

We developed a robust pipeline to identify clinically relevant biomarkers that can be applied to different -omics datasets. Such identification reveals potentially novel drug targets and can be used as a part of a machine-learning based patient stratification framework in the translational medicine settings.

Keyphrases

machine learning
single cell
bioinformatics analysis
rna seq
case report
emergency department
deep learning