Course schedule

Note

Apart from the starting time the time schedule is indicative. Because we can not plan a course by the minute, in practice the time points will deviate.

Day 1

block start end topic instructor presentation exercise
introduction 9:15 9:45 introduction to the course Deepak Tanwar Introduction
block 1 9:45 10:30 introduction to spatial omics Joana Carlevaro-Fita Spatial omics
break 10:30 11:00
block 2 10:45 12:30 Setup, Space-ranger, and Data structure Deepak Tanwar Space-ranger and SpatialExperiment Setup, Exercise 1
break 12:30 13:30
block 3 1:30 3:00 Quality control and normalization Deepak Tanwar QC and normalization Exercise 2
break 3:00 3:30
block 4 3:30 5:15 Feature selection, dimensionality reduction Joana Carlevaro-Fita Intermediate processing Exercise 3

Day 2

block start end topic instructor presentation exercise
block 1 9:15 10:30 Clustering and annotation Joana Carlevaro-Fita Clustering Exercise 4
break 10:30 11:00
block 2 11:00 11:45 Spatial statistics Mark Robinson Statistical methods
block 2 11:45 12:30 Co-localization analysis Martin Emons Spatial stats
break 12:30 1:30
block 3 1:30 2:15 Exercises: co-localisation analysis Martin Emons Exercise 5
block 3 2:15 3:00 SVG and DSP for spatial data Peiying Cai SVG and DSP
break 3:00 3:30
block 4 3:30 4:15 Exercise: SVG and DSP for spatial data Peiying Cai Exercise 6, Exercise 7
post-course 4:15 4:30 Post-course information Deepak Tanwar Closing remarks