“Learning from Data in Single-Cell Transcriptomics”

Professor Sandrine Dudoit, Professor and Chair, Department of Statistics , Professor, Division of Biostatistics, School of Public Health , University of California, Berkeley

I will discuss statistical methods and software for the analysis of single-cell transcriptome sequencing (RNA-Seq) data to investigate the differentiation of olfactory stem cells. RNA-Seq studies provide a great example of the range of questions one encounters in a Data Science workflow. I will survey the methods and software my group has developed for exploratory data analysis (EDA), dimensionality reduction, normalization, expression quantitation, cluster analysis, and the inference of cellular lineages. Our methods are implemented in open-source R software packages released through the Bioconductor Project (https://www.bioconductor.org).

The lecture series is being chaired by Sach Mukherjee and Sylvia Richardson from the MRC Biostatistics Unit at the University of Cambridge. More info: Cambridge BSU Lectures in Biomedical Data Science

Registration for this online lecture is free. To register, click here: Cambridge BSU Lecture in Biomedical Data Science – Prof Sandrine Dudoit Tickets, Thu 24 Feb 2022 at 17:00 | Eventbrite

All registered delegates will receive the Zoom joining info prior to the event.