Convergence Seminar
Maria Chikina, PhD
Genome scale technologies can measure thousands or even millions of molecular features but the individual measurements are often noisy readouts of a smaller set of parameters describing the internal biological state. Indeed, many computational analyses can be viewed as methods to infer the true biological variables from their coordinated effects on a larger set of experimental readouts. In this talk, Maria Chikina will discuss methods that use biologically motivated priors and constraints to reduce large-scale measurements to a smaller set of interpretable features facilitating both downstream computation and mechanistic reasoning.
Details
Dates
March 7, 2022Time
10:00-11:00am PSTLocation
Online, Mahley AuditoriumAudience
Gladstone and UCSFContact(s)
The Convergence Seminar is organized by Gladstone’s Institute for Data Science and Biotechnology. This seminar series brings together scientists from varying disciplines to solve complex scientific questions and accelerate the path to cures.
Diversity, Equity, and Inclusion
At Gladstone, we are committed to providing events and professional development activities that resonate with our community’s diverse members. Our goal is to develop creative programming that encompasses a wide variety of ideas and perspectives to inspire, educate, and engage with everyone within our walls.
We want to effect positive change through our events and activities by providing a platform for discussions on important topics related to increasing diversity and inclusiveness in the sciences.