The Fred Hutch Biostatistics Program hosts seminars featuring presentations by Hutch and outside scientists to share their latest developments and recent research. Each seminar includes an hour-long presentation and discussion during which speakers showcase their work and findings.
This seminar will be held on Zoom due to the COVID-19 pandemic.
A joint presentation by the Cancer Epigenetics Affinity Group and the Biostatistics Program:
Accounting for tissue heterogeneity in the analysis of bulk high-throughput omics data
Tissue samples obtained from clinical practices are usually mixtures of different cell types. The bulk high-throughput omics data obtained from these samples are thus mixed signals. The cell mixture brings complications to data analysis, and will lead to biased results if not properly accounted for. In this talk, I will present some of our recent method works for analyzing high-throughput data from heterogeneous samples, including cell type-specific differential analysis and reference-free signal deconvolution. I will also share some experiences and thoughts on the data analysis strategy and potential future research direction in this field.