Statistical approaches to detect pathogenic variants of the BRCA2 oncogene

About this Class

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 session will be recorded, and materials will be posted on the ABCS training site and will also be shared with attendees a few days after the event.

For details, please contact Natasha Pacheco (natasha.pacheco@nih.gov), Advanced Biomedical Computational Science (ABCS) group, Frederick National Laboratory for Cancer Research.