Abstract:

The workshop will begin with an introductory presentation on spatial omics technologies and
associated analyses. We will then explore the challenges and analytical focus associated with
predicting outcomes using multi-condition and multi–sample spatial data. The workshop will
illustrate general analytic strategies to address commonly asked questions, such as how to predict
patient outcomes. We will also discuss critical thinking questions that commonly arise. The workshop will cover the following:
● Initial exploration of spatial data, including simple QC
● Extracting informative spatial features via scFeatures
● Understanding transformation from the cell level to the patient level features
● Neighbourhood analysis
● Identification of cohort heterogeneity and its implications via ClassifyR

Please refer to the attached PDF file above for more details.