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High dimensional data integration
May 8, 2020 @ 3:00 pm - 4:30 pm
Biological processes like gene regulation are complex involving multiple modalities. It is becoming more common to query biological processes using multiple orthogonal and related assays to get a more complete understanding. For example, one may assay expression of genes using RNA-seq and chromatin state using Atac-seq in the samples associated with the underlying conditions of the study. A common question we encounter is how does one reconcile changes observed in one assay with those in the others. The answer we provide depends on the specific question or the hypothesis that we are interested in and also on the underlying experimental design that generated these data. We will answer specific questions from researchers as they attempt to reconcile their high dimensional data sets during this office hour.