Contact Name

Laura Sobieck

Contact Phone

5738826376

Contact Email

sobieckl@umsystem.edu

Speaker(s) Information

Dr. Jingyi “Jessica” Li,

Associate Professor, Department of Statistics & Departments of Biostatistics, Computational Medicine, and Human Genetics, University of California, Los Angeles

 

Additional Event Information

Title: Opening Black Boxes: Enhancing Statistical Rigor in Genomics Data Science

 

ABSTRACT: The rapid development of genomics technologies has propelled fast advances in genomics data science. While new computational algorithms have been continuously developed to address cutting-edge biomedical questions, a critical but largely overlooked aspect is the statistical rigor. In this talk, I will introduce our recent work that aims to enhance statistical rigor by addressing three issues:

1. large-scale feature screening (i.e., enrichment and differential analysis of high-throughput data) relying on ill-posed p-values;

2. double-dipping (i.e., statistical inference on biasedly altered data);

3. gaps between black-box generative models and statistical inference.