Clarifying the Mysteries of Choosing Statistical and Machine-Learning Methods in Genomics Research
A presentation from 2022–2023 Helen Putnam Fellow Jingyi Jessica Li
Li is an interdisciplinary expert in statistics and genomics. She will write the first book to clarify common confusions in genomics data analysis by connecting cutting-edge genomics research questions with fundamental statistical and machine-learning methods, focusing on the distinctions and choices among the methods—which are apparently similar but fundamentally different—so that quantitative genomics researchers will have clear guidelines to follow in their development of bioinformatics tools.
Free and open to the public.
To view this event online, individuals will need to register via Zoom.
For instructions on how to join online, see the How to Attend a Radcliffe Event on Zoom webpage.
After registering, you will receive a confirmation e-mail containing a link and password for this meeting.
Live closed captioning will be available for the webinar.