TITLE
AI Approaches for Understanding Brain Disorders
ABSTRACT
My talk will focus on the material in:
Single-cell genomics and regulatory networks for 388 human brains
Emani et al. (2024). Science.
Specifically, I'll discuss:
Single-cell genomics is a powerful tool for studying heterogeneous
tissues such as the brain. Yet little is understood about how genetic
variants influence cell-level gene expression. Addressing this, we
uniformly processed single-nuclei, multiomics datasets into a resource
comprising >2.8 million nuclei from the prefrontal cortex across 388
individuals with various brain-related disorders and controls. Using
this, we built cell–type–specific gene regulatory and cell-to-cell
communication networks and an integrative deep-learning model that
accurately imputes single-cell expression and simulates perturbations.
The model prioritized ~250
disease-risk genes and drug targets with associated cell types.
If there's time, I'll also touch on the material in :
* A Variational Graph Partitioning Approach to Modeling Protein
Liquid-liquid Phase Separation
G Wang et al. (2024). Cell Reports Physical Science.
* Leveraging a large language model to predict protein phase
transition: a physical, multiscale and interpretable approach
M Frank et al. (2024). PNAS
* Digital phenotyping from wearables using AI characterizes
psychiatric disorders and identifies genetic associations
J Liu et al. (2024). Cell.
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2 comments:
This seminar sounds fascinating! The integration of single-cell genomics and deep learning models for understanding brain disorders is really exciting. I’m particularly interested in the potential for AI to identify disease-risk genes and drug targets. On a related note, I’ve been working on a last minute assignment involving AI applications in genomics, and this talk will definitely give me more insights to incorporate. Looking forward to hearing more!
The idea of a seminar at the Center for Neural Circuit Mapping sounds fascinating! It's exciting to see how brain research persists to grow with such focus. Knowing about how our brain functions is truly a gift of science. Talking of gifts, thoughtful birthday gifts often reflect how well we understand someone—just like mapping neural circuits reflects our growing understanding of the mind.
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