TRAINING

Peng Qiu: BMED 6517: Machine Learning in Biosciences  3 Credit Hours
Introduces machine learning concepts and methods, including supervised and unsupervised learning, dimension reduction and visualization. Topics are accompanied by bioinformatics and systems biology applications.

Manoj Bhasin: IBM585R:  Topics in Biomedical Informatics:  Cancer Single Cell Analytics (Emory)

This course introduces students to analytical techniques for single cell RNA-sequencing data in
cancer, including experimental protocols, data processing, computational methods, and statistical analyses. Methods include Seurat and the instructor’s recent methods in cancer. This course is project based, and prerequisites include prior scientific computing experience.

Spring 2024

Saurabh Sinha: BMED6517: Machine Learning for BioSciences (GA Tech)

Introduces machine learning concepts and methods, including supervised and unsupervised learning, dimension reduction, and visualization. Topics are accompanied by applications to single-cell transcriptomics.