Please join us for the Statistics Seminar scheduled from 11 a.m. to noon on Friday, March 8.

Our distinguished guest speaker, Abolfazl Saghafi from Saint Joseph's University, will present a talk on "Splice Junction Identification Using Deep Learning Models."

The seminar will be conducted online and in-person in HOS 380. Further details can be found below. 

Abstract: 
Proteins make up many of the essential parts and processes of living organisms. The blueprint that determines the structure and function of proteins is coded in DNA but not all parts of DNA are translated in protein synthesis. After transcription from DNA to pre-messenger RNA, splicing occurs where sections of RNA, introns, are spliced out, and the remaining sections, exons, are joined together. Since the percentage of multi-exon genes that undergo alternative splicing is very high, identifying splice junctions is an attractive research topic with important implications. In this talk, after a quick summary of different classes of machine learning and deep learning, we learn about two deep learning models that detect splicing with high accuracy.

• Zoom link
• Meeting ID: 913 5370 7903
• Passcode: 18522378

For further information, contact Farhad Shokoohi.