Chair
Philip Iannaccone, MD, PhD
Northwestern University
Co-Chair
Qin Yan, PhD
Yale University
Co-Chair
David C. Williams, Jr., MD, PhD
University of North Carolina, Chapel Hill
Session Description: Recent advances in transcriptomics have shown that gene expression states vary tremendously from cell to cell. This variation is essential in development where the specification of fate depends on controlled heterogeneity. In cancer, genetic and epigenetic changes results in highly heterogeneous expression states despite clonal origins. This session will present the emerging single-cell technologies in transcriptomics and epigenomics, data analysis pipeline, and the biological significance of these data.
| Chair - Welcome and Introductions | ||
| 9:00 AM - 9:45 AM | Methods for Calibration, Imputation, Visualization and Differentiation Between Samples in scRNA-seq Data Analysis Yuval Kluger, PhD • Yale University |
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| 9:45 AM - 10:30 AM | Single-Cell Genomics in Cancer Immunotherapy Ansuman Satpathy, MD, PhD • Stanford University |
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| 10:30 AM - 11:15 AM | Single Cell Epigenomic Analysis of the Anatomy and Neuronal Circuitry of the Brain ZhuZhu Zhang, PhD • Salk Institute |
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| 11:15 AM - 12:00 PM | Integrative RNA and Chromatin Analysis of Single Cells in Human Tissues Kun Zhang, PhD • University of California, San Diego |
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