Page 5 - 200+ Top Computational Genomics Summer Institute CGSI Online Courses [2026]

Applications of Conformal Prediction in Medicine

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

Modular Software for Mediation Analysis of Microbiome Data

Genetic Fine Mapping via the Sum of Single Effects SuSiE Model

Nonnegative Matrix Factorization of Count Data with the Shifted Log Transform

Integer Linear Programming for Computational Biology

Pervasive Selective Sweeps Across Human Gut Microbiomes

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

Algorithmic Challenges in Complete Genomics and Metagenomics

Deep Neural Network Models for Inference of Cellular Dynamics and Underlying Regulatory Networks - MIOflow (Manifold Interpolating Flows)

Low Mappability Genes in the Human Genome - Challenges and Opportunities

Privacy Enhancing Technologies and Their Applications to Genomics

Using the Pyro Probabilistic Programming Language for Statistical Genomics

Predicting Functional Transcription Factors from Various Genomics Data

Acceleration of Bioinformatics Workloads

Computational Genomics Summer Institute CGSI Courses

Applications of Conformal Prediction in Medicine

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

Modular Software for Mediation Analysis of Microbiome Data

Genetic Fine Mapping via the Sum of Single Effects SuSiE Model

Nonnegative Matrix Factorization of Count Data with the Shifted Log Transform

Integer Linear Programming for Computational Biology

Pervasive Selective Sweeps Across Human Gut Microbiomes

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

Algorithmic Challenges in Complete Genomics and Metagenomics

Deep Neural Network Models for Inference of Cellular Dynamics and Underlying Regulatory Networks - MIOflow (Manifold Interpolating Flows)

Low Mappability Genes in the Human Genome - Challenges and Opportunities

Privacy Enhancing Technologies and Their Applications to Genomics

Using the Pyro Probabilistic Programming Language for Statistical Genomics

Predicting Functional Transcription Factors from Various Genomics Data

Acceleration of Bioinformatics Workloads