Using heterogeneous Graph Neural Networks(hGNN) to predict cell-cell communication

This thesis investigates diverse computational methodologies for modeling cellular interactions using single-cell RNA sequencing (scRNA-seq) data. We evaluate the performance of Graph Neural Networks (GNNs) both with and without gene-gene edges, Contrastive Learning, and Variational Autoencoders (VA...

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Bibliographic Details
Main Author: Yan, Binwei
Other Authors: Kellis, Manolis
Format: Thesis
Published: Massachusetts Institute of Technology 2024
Online Access:https://hdl.handle.net/1721.1/156766