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Machine Learning Models for Single Cell and Regulatory Genomics - CGSI 2023

Offered By: Computational Genomics Summer Institute CGSI via YouTube

Tags

Machine Learning Courses Bioinformatics Courses Transcriptomics Courses Statistical Modeling Courses Computational Biology Courses Gene Regulation Courses

Course Description

Overview

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Explore machine learning models for single cell and regulatory genomics in this 48-minute conference talk from the Computational Genomics Summer Institute (CGSI) 2023. Delve into cutting-edge research presented by Christina Leslie, covering topics from recent papers in Genome Research and Genome Biology. Learn about advanced computational techniques applied to genomic data analysis, including single-cell sequencing and regulatory genomics. Gain insights into the latest developments in the field, with references to works by Karbalayghareh et al. (2022), Tayyebi et al. (2022), and Yang, Das et al. (2023). Enhance your understanding of how machine learning is revolutionizing genomic research and its potential applications in computational biology.

Syllabus

Christina Leslie | Machine Learning Models for Single Cell and Regulatory Genomics | CGSI 2023


Taught by

Computational Genomics Summer Institute CGSI

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