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 based approach appropriate for Illumina read data (same as RNA-seq I).
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) serves as an invaluable resource for researchers. This introductory workshop will cover the basics of writing queries to extract the relevant datasets for EHR-related research […]
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 […]
