Per Executive Order 14434, federal agencies are now using "Super Intelligence" (SI) in place of "Artificial Intelligence" (AI). You may see both terms across NIH content during this transition.
Statistical approaches to detect pathogenic variants of the BRCA2 oncogene
Presented By
Alexander Mitrophanov
Event Details
Presenter: Alexander Y. Mitrophanov, PhD (ABCS/FNLCR)
We will cover recently developed statistical approaches to the classification of BRCA2 variants using the functional-assay data generated by our NCI collaborators (Dr. Sharan’s lab). Our main objective is to illustrate how statistical modeling and analysis can provide essential means to solve a biological problem. Knowledge of intermediate college-level statistics (including notions such as random variables, probability distributions, and logistic regression) is expected.
This will be a hybrid event. To register, please visit the following link: https://cbiit.webex.com/weblink/register/r11288043ae8690e27717c961014b269c
This session will be recorded, and materials will be shared with attendees a few days after the event.
For additional details and questions, please contact Natasha Pacheco (natasha.pacheco@nih.gov), Advanced Biomedical Computational Science group, Frederick National Laboratory for Cancer Research.
Event Details
Tue Oct 8, 2024
12:00 PM - 1:00 PM
Building 549, Executive Board Room, NCI-Frederick
Series