Challenges and Opportunities in Applied Mathematics, Statistics and Data Science for Cancer Research
- 2022-12-27 (Tue.), 16:00 PM
- Auditorium, 1F , Research Center for Environmental Changes Building；The tea reception will be held at 15:40.
- Online live streaming through Cisco Webex will be available.
- Prof. Yu Shyr
- Department of Biostatistics, Vanderbilt University School of Medicine, U.S.A.
Abstract
The key concepts of precision medicine are prevention and treatment strategies that take individual molecular profile and clinical information into account. Single-cell next-generation sequencing technologies (NGS), liquid biopsy for circulating tumor DNA (ctDNA) analysis, microbiomics, radiomics, spatial omics, and other types of high-throughput assays have exploded in popularity in recent years, thanks to their ability to produce an enormous volume of data quickly and at relatively low cost.
In this presentation, I will offer some perspectives on the changing landscape for applied mathematical and statistical science, including the concept of treating unstructured text as quantitative data; the need for statisticians to adjust their mindset around the explosive growth in information technology; machine learning; and the AI revolution. These areas present great opportunities for our profession to strengthen our role in the data science arena. I will finish up with my recent research about single cell RNA-seq data analysis which we developed a new method to identify dysregulated ligand-receptor interactions from single cell transcriptomics.
Please click here for participating the talk online
Download
Back
