Computational Genomics Summer Institute CGSI Courses

Applications of AI in Healthcare: From EHR to Imaging - CGSI 2024

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Explore AI applications in healthcare, from electronic health records to medical imaging. Discover how deep learning enhances tumor identification, stroke detection, and depression prediction.

• YouTube
• 41 minutes
• Self-Paced
• Free Video

Models and Methods for Spatial Transcriptomics - CGSI 2023

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Explore models and methods for spatial transcriptomics, focusing on alignment, integration, and modeling of gene expression variation in spatially resolved data.

• YouTube
• 41 minutes
• Self-Paced
• Free Video

Lessons from the Largest Genome-Wide Association Study of Human Height

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Explore insights from the largest genome-wide association study on human height, examining genetic variants, heritability, and the impact of rare variations on this complex trait.

• YouTube
• 38 minutes
• Self-Paced
• Free Video

Primer on LLMs for Biology

Discover how large language models can be applied to biological research in this comprehensive primer by James Zou at CGSI 2024.

• YouTube
• 40 minutes
• Self-Paced
• Free Video

Integrative Deep Learning for Heterogeneous Biomedical Datasets

Explore integrative deep learning techniques for combining diverse biomedical data types, including graph-based drug discovery and multimodal attention mechanisms for disease diagnosis.

• YouTube
• 24 minutes
• Self-Paced
• Free Video

A Guide to Transcriptomic Deconvolution in Cancer

Discover advanced methods for analyzing tumor heterogeneity and immune infiltration through transcriptomic deconvolution techniques in cancer research.

• YouTube
• 53 minutes
• Self-Paced
• Free Video

Living in the Past of Genomics

Explore how historical mathematical concepts from the 1940s continue to shape modern genomics through k-mer approaches and combinatorial methods in biodiversity research.

• YouTube
• 35 minutes
• Self-Paced
• Free Video

Eliciting Simple and Transparent Algorithms for Statistical Learning via Majorization-Minimization

Discover how Majorization-Minimization (MM) creates transparent statistical learning algorithms for clustering, regression, and covariance estimation with practical applications.

• YouTube
• 31 minutes
• Self-Paced
• Free Video

Modular Software for Mediation Analysis of Microbiome Data

Explore modular software tools for mediation analysis in microbiome research, focusing on causal inference methods and compositional data analysis techniques.

• YouTube
• 42 minutes
• Self-Paced
• Free Video

Genetic Fine Mapping via the Sum of Single Effects SuSiE Model

Discover genetic fine mapping techniques using the Sum of Single Effects (SuSiE) model for identifying causal variants from genomic data in this computational genomics presentation.

• YouTube
• 45 minutes
• Self-Paced
• Free Video

Nonnegative Matrix Factorization of Count Data with the Shifted Log Transform

Explore nonnegative matrix factorization techniques for analyzing count data using shifted log transforms in computational genomics applications.

• YouTube
• 43 minutes
• Self-Paced
• Free Video

Integer Linear Programming for Computational Biology

Discover how integer linear programming solves complex computational biology problems through practical applications and mathematical optimization techniques.

• YouTube
• 29 minutes
• Self-Paced
• Free Video

Pervasive Selective Sweeps Across Human Gut Microbiomes

Discover how selective sweeps shape human gut microbiome evolution through computational genomics analysis and population genetics methods.

• YouTube
• 24 minutes
• Self-Paced
• Free Video

Efficient Count-Based Models Improve Power and Robustness for Large-Scale Single-Cell eQTL Mapping

Discover efficient count-based models that enhance power and robustness in large-scale single-cell eQTL mapping through advanced computational genomics techniques.

• YouTube
• 28 minutes
• Self-Paced
• Free Video

Algorithmic Challenges in Complete Genomics and Metagenomics

Explore algorithmic solutions for complete genome assembly and metagenomics using multiplex de Bruijn graphs and repeat graphs for long-read sequencing data analysis.

• YouTube
• 46 minutes
• Self-Paced
• Free Video