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Portfolio category: CGSI 2023

Date:September 15, 2023Posted By:Leticia Ortiz

Kris Sankaran | Selective Inference for Computational Genomics | CGSI 2023

Date:September 15, 2023Posted By:Leticia Ortiz

Layla Oesper | Tumor Evolution: Methods for Comparing, Summarizing and Visualizing Clonal Trees | CGSI 2023

Date:September 15, 2023Posted By:Leticia Ortiz

Mohammed El-Kebir | Inferring Parsimonious Migration Histories for Metastatic Cancers | CGSI 2023

Date:September 15, 2023Posted By:Leticia Ortiz

Na Cai | Polygenic Means To Test And Refine Depression Disease Models | CGSI 2023

Date:September 15, 2023Posted By:Leticia Ortiz

Nicholas Mancuso | Computationally Scalable Approaches for Characterizing Genetic Architectures in Diverse Ancestries | CGSI 2023

Date:September 15, 2023Posted By:Leticia Ortiz

Steven Gazal | The Functional Architectures of Human Diseases and Complex Traits: From Polygenicity to Variant Function | CGSI 2023

Date:September 15, 2023Posted By:Leticia Ortiz

Vasilis Ntranos | Genome wide Prediction of Disease Variants with a Deep Protein Language Model | CGSI 2023

Date:September 12, 2023Posted By:Leticia Ortiz

Teresa Prztycka | From Mutagenic Processes to Mutational Signatures and Back | CGSI 2023

Date:September 11, 2023Posted By:Leticia Ortiz

Jeffrey Chiang | Strategies for Integrating Deep Learning with Current Biomedical Research | CGSI 2023

Date:September 11, 2023Posted By:Leticia Ortiz

Nancy Cox | Confounding sneaks into biobanks in myriad ways… | CGSI 2023

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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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