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Portfolio category: Most voted videos from 2018

Date:January 2, 2019Posted By:Duke Hong

A. Murat Eren | From characterizing genomic heterogeneity within single populations to investigating evolutionary forces acting on environmental microbes​ | CGSI 2018

July 11th – August 3rd, 2018 UCLA CGSI – Computational Genomics Summer Institute Research Talk by A. Murat Eren From characterizing genomic heterogeneity within single populations to investigating evolutionary forces acting on environmental microbes​

Date:December 18, 2018Posted By:Duke Hong

David Koslicki | Multi-resolutionk-mer classification of metagenomic samples | CGSI 2018

July 11th – August 3rd, 2018 UCLA CGSI – Computational Genomics Summer Institute Research Talk by David Koslicki Multi-resolutionk-mer classification of metagenomic samples

Date:November 28, 2018Posted By:Duke Hong

James Zou | Contrastive learning with applications to biomedical data | CGSI 2018

July 11th – August 3rd, 2018 UCLA CGSI – Computational Genomics Summer Institute Research Talk by James Zou Contrastive learning with applications to biomedical data

Date:November 26, 2018Posted By:Duke Hong

Lior Pachter | What is CCA, why you should care, and how to use it | CGSI 2018

July 11th – August 3rd, 2018 UCLA CGSI – Computational Genomics Summer Institute Research Talk by Lior Pachter What is CCA, why you should care, and how to use it

Date:March 9, 2018Posted By:Duke Hong

Casey Greene | Deep learning | privacy preserving data sharing along with some hints and tips | CGWI 2018

Feb 26th – March 2nd, 2018 CGWI – Computational Genomics Winter Institute IPAM Lecture Hall Research Talk by Casey Greene Deep learning: privacy preserving data sharing along with some hints and tips

Date:March 9, 2018Posted By:Duke Hong

Su-In Lee | Interpretable Machine Learning for Precision Medicine | CGWI 2018

Feb 26th – March 2nd, 2018 CGWI – Computational Genomics Winter Institute IPAM Lecture Hall Research Talk by Su-In Lee Interpretable Machine Learning for Precision Medicine

Date:March 8, 2018Posted By:Duke Hong

John Novembre | Computational tools for understanding geographic structure in genetic variation data | CGWI 2018

Feb 26th – March 2nd, 2018 CGWI – Computational Genomics Winter Institute IPAM Lecture Hall Research Talk by John Novembre Computational tools for understanding geographic structure in genetic variation data

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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