Machine Learning for Spatial Transcriptomics

In this one day workshop, participants will explore emerging methods in machine learning for spatial transcriptomics. This workshop will cover the theoretical foundations and the practical applications and use of three machine learning methods for handling multi-modal datasets.

A basic understanding of the command line and R is highly recommended for success in this course. We will conduct a very brief review on the first morning of the course, but we will not be providing full instruction in basic CLI or R. To get the maximum value out of the course, intermediate knowledge of CLI and R is needed, though beginners without this prior knowledge will still achieve a thorough understanding of single cell RNA-Seq techniques and analysis, but may not be able to conduct an experiment on their own. For a thorough grounding in bioinformatics prerequisites, we recommend beginners enroll in our introductory courses in CLI and / or R.

The registration fee is $500 for current students, postdocs, staff and faculty at Univeristy of California campus' or UC National Labs (LBNL, LANL, LLNL), $700 for other academic or non-profit participants and $1,000 for other participants. We accept credit cards, as well as UC recharge accounts, for payment.

This workshop will be held online from 9:00 am to 5:00 pm (PST) on July 23.

Credit card payment option will be coming soon ...