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Portfolio category: CGSI 2024

Date:October 18, 2024Posted By:Leticia Ortiz

Timothy Chang | Modeling Alzheimer’s disease Risk in Real World Data | CGSI 2024

Date:October 18, 2024Posted By:Leticia Ortiz

Smita Krishnaswamy | Uncovering Cellular dynamics and metabolism with Geometric deep learning and optimal transport | CGSI 2024

Date:October 18, 2024Posted By:Leticia Ortiz

Shaojie Zhang | PBWT-based Algorithms for Large Cohort Genetics | CGSI 2024

Date:October 18, 2024Posted By:Leticia Ortiz

Saharon Rosset | Using Classical Algorithms for Modern Applications/ MCMC for Tail Calculations, EM for PET reconstruction | CGSI 2024

Date:October 18, 2024Posted By:Leticia Ortiz

Sagiv Shifman | Using pooled CRISPR screens to study biology | CGSI 2024

Date:October 18, 2024Posted By:Leticia Ortiz

Rahul Krishnan | Bridging the gap: Deep Learning and Causality | CGSI 2024

Date:October 18, 2024Posted By:Leticia Ortiz

Pavel Pevzner | Uni-alignment: A Parameter-free Framework for Fast and Accurate Sequence Alignment | 2024

Date:October 18, 2024Posted By:Leticia Ortiz

Nandita Garud | Inference of the selective effects and demographic histories of human gut commensals | CGSI 2024

Date:October 18, 2024Posted By:Leticia Ortiz

Lisa Bastarache | The real world phenotypic presentation of Mendelian disease | CGSI 2024

Date:October 18, 2024Posted By:Leticia Ortiz

Haoyu Cheng | Reconstructing Every Haplotype with De Novo Assembly | CGSI 2024

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Funded by NIH since 2016 – Grant GM135043

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