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
block 1 9:45 10:30 introduction to spatial omics
break 10:30 10:45
block 2 10:45 12:30 Data structure + quality control + normalization and scaling
break 12:30 13:30
block 3 1:30 3:00 Exercises quality control
break 3:00 3:15
block 4 3:15 5:15 Feature selection, dimensionality reduction and clustering

Day 2

block start end topic instructor presentation exercise
block 1 9:15 10:30 Spatial statistics Martin Emonts
break 10:30 10:45
block 2 10:45 12:30 DESpace Peiying Cai
break 12:30 13:30
block 3 1:30 3:00 Multiple samples DESpace, differential colocalization
break 3:00 3:15
block 4 3:15 5:15 Deconvolution