Maria Chikina, PhD
Genome scale technologies can measure thousands or even millions of molecules but the individual measurements are often noisy redouts of the internal biological state. For any computational approaches, the ultimate goal is to infer the true biological state parameters from their effects on a much larger set of experimental readouts. Indeed, much of genomic data analysis can be viewed as a special case of dimensionality reduction. Unlike a generic dimensionality reduction problem, however, in the biological case we have extensive prior knowledge about the data-generating process. In this talk, several methods will be discussed that exploit this prior knowledge to create interpretable low-dimensional representations for genome scale datasets.
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.