Frontiers in Computational Biosciences Seminar Series: Justin Sonnenburg, PhD, Alex and Susie Algard Endowed Professor, Microbiology & Immunology – Stanford University
Boyer Hall 159TITLE: "The Predicament of the Industrialized Gut Microbiome"
TITLE: "The Predicament of the Industrialized Gut Microbiome"
R (www.r-project.org) is a free software environment for statistical computing and graphics. First, this workshop introduces basic concepts, syntax, and usage in R programming, statistical analysis, and visualization techniques. We […]
This 3-day interactive workshop introduces the overarching principles guiding generative modeling and specifically Large-Scale Language Models (LLM), their application in Python for inference, and specific use-cases in Genomics. Experience with […]
TITLE: "Fair AI for Health: Reducing Bias in Predictive Models"
The analysis of imaging datasets is both exciting and challenging. New and increasingly powerful techniques try to maximize the information derived from multi-dimensional imaging datasets. Yet, every dataset can be […]
The goal of the workshop is to enable the participants to submit and rationally evaluate results of the AlphaFold protein structure predictions. The class will cover the basic principles of […]
Fueled by technological innovations, online databases and algorithmic developments, biomedical research is rapidly becoming a data science. In this webinar, three of the most innovative UCLA faculty will share their […]
This workshop will introduce the basic principles of DNA methylation and briefly describe available methods for DNA methylation assessment, focusing on bisulfite sequencing (BS-Seq). We will cover the principles of […]
Spatial transcriptomics is an emerging field that bridges molecular biology and anatomy. Over the last decade, a battery of assays have been developed that profile gene expression in-situ, i.e, measuring […]