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Portfolio category: CGSI 2022

Date:November 21, 2022Posted By:Leticia Ortiz

Kirk Lohmueller | The Poisson Random Field model in population genetics | CGSI 2022

Date:November 21, 2022Posted By:Leticia Ortiz

Daniel Tward | Multiscale metrics for comparing spatial transcriptomics datasets | CGSI 2022

Date:November 21, 2022Posted By:Leticia Ortiz

Iman Hajirasouliha | Applications of Deep Learning to Genomics and Digital Pathology | CGSI 2022

Date:November 21, 2022Posted By:Leticia Ortiz

Sriram Sankararaman | Machine learning for Biobank-scale data | CGSI 2022

Date:November 21, 2022Posted By:Leticia Ortiz

Jason Ernst | A Tutorial on Computational Methods for Modeling and Analyzing Epigenomic Data | CGSI 2022

Date:November 21, 2022Posted By:Leticia Ortiz

Kayhan Batmanghelich | Bridging ML Models with Medical Insights for Learning, Inference, and Model Explanation for Radiology Applications | CGSI 2022

Date:November 21, 2022Posted By:Leticia Ortiz

Smita Krishnaswamy | Harnessing Data Geometry for Biomedical Insights | CGSI 2022

Date:November 21, 2022Posted By:Leticia Ortiz

Bogdan Pasaniuc | Personalized genomic medicine using large-scale biobanks linked with medical records | CGSI 2022

Date:November 21, 2022Posted By:Leticia Ortiz

Loic Yengo | Lessons from the Largest Genome-Wide Association Study of Human Height | CGSI 2022

Date:November 21, 2022Posted By:Leticia Ortiz

Chris Gignoux | Applying polygenic scores at biobank scale | CGSI 2022

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Funded by NIH since 2016 – Grant GM112625

IN PARTNERSHIP WITH EDMOND J. SAFRA CENTER FOR BIOINFORMATICS:

AND THE ARTIFICIAL INTELLIGENCE/MACHINE LEARNING CONSORTIUM TO ADVANCE HEALTH EQUITY AND RESEARCHER DIVERSITY (AIM-AHEAD):

AIM AHEAD
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