In order to make inferences based on genomic data, it is useful to understand the evolutionary forces that underlie observed genetic variation. The field of population genetics offers theoretical tools to test predictions, gain intuition, and even generate training data for statistical and deep learning models. However, population genetics simulations have historically been slow and […]
TITLE: "“The role of IFN-γ in Tumor Immunity - Mechanisms and TCR Gene Therapy”
TITLE: "Interpretable machine learning methods to understand tissue heterogeneity using large-scale single-cell genomics and high-definition spatial transcriptomics” Watch recording on YouTube: https://www.youtube.com/channel/UCokAYrjf_TaziPtmn6l4-5A
TITLE: TBD Watch recording on YouTube: https://www.youtube.com/channel/UCokAYrjf_TaziPtmn6l4-5A
RNA-seq II aims to provide tools for analysis of gene expression data from read counts to biology using R. To facilitate learning, the workshop will use a real case study […]
UCLA Health serves well over half a million patients annually, and as a result, UCLA possesses a vast database of Electronic Health Records (EHR). The stemming Discovery Data Repository (DDR) […]
Join us for a series of talks featuring QCBio faculty as they share ideas that excite them Mehdi Bouhaddou Assistant Professor, Microbiology, Immunology & Molecular Genetics The Bouhaddou Lab dissects […]
