Python Intro to Machine Learning is a 2-part series running from 10am-1pm each day: Part 1: Wednesday, February 23 Part 2: Monday, February 28 This workshop introduces students to scikit-learn, the popular machine learning library in Python, as well as the auto-ML library built on top of scikit-learn, TPOT. The focus will be on scikit-learn syntax […]
This workshop is a 2-part series that runs from 9am-12pm each day: Tuesday, March 1 Thursday, March 3 Machine learning often evokes images of Skynet, self-driving cars, and computerized homes. However, these ideas are less science fiction as they are tangible phenomena that are predicated on description, classification, prediction, and pattern recognition in data. During this two […]
This workshop is a 2-part series that runs from 9am-12pm each day: Tuesday, March 1 Thursday, March 3 Machine learning often evokes images of Skynet, self-driving cars, and computerized homes. However, these ideas are less science fiction as they are tangible phenomena that are predicated on description, classification, prediction, and pattern recognition in data. During this two […]
Gene expression is central to cell biology. Disease pathways often involve changes in the expression levels of at least some genes. RNA-seq has become one of the most popular experimental methods to quantify gene expression levels. This 2-day hands-on workshop will provide an introduction to a typical bulk RNA-seq protocol and focus on the data […]
Gene expression is central to cell biology. Disease pathways often involve changes in the expression levels of at least some genes. RNA-seq has become one of the most popular experimental methods to quantify gene expression levels. This 2-day hands-on workshop will provide an introduction to a typical bulk RNA-seq protocol and focus on the data […]
Please join us as we continue to develop a community of practice around cancer research that utilizes computational methods. Speaker: Francisca (Paquita) Vazquez, PhD, Broad Institute Title: TBA C3 Faculty Leadership: Joe Costello, Hani Goodarzi, Franklin Huang, Marina Sirota, Alejandro Sweet-Cordero For Zoom information or to be added to the C3 calendar invite, contact edna.rodas@ucsf.edu
RNA-Seq is a powerful tool to interrogate cellular functions. In this intermediate workshop you’ll learn the skills you need to get the most out of your RNA-Seq data through analysis in R. By the end of the workshop, you'll know how to: Go from a matrix of raw gene expression counts to differentially expressed genes […]
R Introduction to Deep Learning is a 2-part series that runs from 10am-1pm each day: Tuesday, March 29 Thursday, March 31 This workshop introduces the basic concepts of Deep Learning — the training and performance evaluation of large neural networks, especially for image classification, natural language processing, and time-series data. Like many other machine learning […]
R Introduction to Deep Learning is a 2-part series that runs from 10am-1pm each day: Tuesday, March 29 Thursday, March 31 This workshop introduces the basic concepts of Deep Learning — the training and performance evaluation of large neural networks, especially for image classification, natural language processing, and time-series data. Like many other machine learning […]
