HSPH Biostatistics and DFCI Data Science Colloquium
Thursday April 9 at 4:00pm
HSPH, FXB 301

Zhijin Wu, PhD, Professor of Biostatistics, Brown University

Biomedical research has benefited tremendously from the breakthroughs in biotechnology in the last two decades that enabled simultaneous quantifications of a large number of biomolecules (DNA/RNA/proteins). Such data collected at the -omics scale often have a “small N large p” structure and the “large p” is often seen as a curse of Dimensionality.

However, sometimes the nature of high throughput data acquisition can be useful and provides information that is only accessible in “large p” settings. I will present several examples of our methodology development that takes advantage of the “large p” nature in genomic studies that lead to improved detection of molecular signals.