The BBI bioinformatics team is hosting a virtual Garnett tutorial to help you learn how to build classifiers and perform cell type classification from single-cell expression data. Although we encourage everyone to attend, this particular session is mainly for researchers that have prior experience of analyzing single-cell data.

The prerequisites for this session are:
1. Basic R and R markdown knowledge
2. Monocle 3 installed from here
3. Garnett for Monocle 3 installed from here

During this session, we will cover the following topics:
1. A quick overview of Garnett
2. Training your own classifier
3. Classifying your cells
4. Common marker file errors & how to spot them
5. Introduction to training a marker-free classifier

There will also be some time to address specific questions.

Host: Aishwarya Gogate
When: Wednesday, 9th December 2020 from 9am – 11am
Where: Zoom Meeting

If you plan to attend this tutorial, please RSVP here.

Tutorial material and meeting invite will be sent in a separate email.

Important note: We will hold special office hours via zoom in the week prior to the tutorial for those who need help with R, Monocle 3 or Garnett installations. This is to ensure that you are able to follow along without any issues during the tutorial.
You can sign up for office hours here: Office hours calendar

If you have questions, please email aishwarya.gogate@seattlechildrens.org