|Topic:||Challenges and Opportunities in Single-Cell Multi-Sample Data|
|Time:||2:30 pm - 3:30 pm|
|Venue:||Science Centre L3|
|Speaker:||Professor Jean Yee Hwa Yang|
In recent years, advances in large-scale single-cell proﬁling across multiple modalities have led to unprecedented insights into the identity and function of individual cells. Understanding the interplay between diﬀerent types of cells and their immediate environment is critical for understanding the mechanisms of cells themselves and their function in the context of human diseases. As the number of single-cell, multi-sample, multi-conditional data sets is expected to rise in the coming years, in this talk, we will examine some of the computational challenges posed by the recently emerged single-cell data platforms. We will ﬁrst look at atlas-scale algorithms that allow for the eﬀective integration of multi-sample and multi-condition single-cell studies. Next, we will review a number of studies designed to perform comparisons between two or more groups/conditions of samples, such as diseased and healthy individuals, to understand cell-level responses to biological perturbations. We will discuss the various strategies and challenges in this new and rapidly evolving subﬁeld of single-cell data.