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...

Бүрэн тодорхойлолт

Номзүйн дэлгэрэнгүй
Үндсэн зохиолч: Yan, Binwei
Бусад зохиолчид: Kellis, Manolis
Формат: Дипломын ажил
Хэвлэсэн: Massachusetts Institute of Technology 2024
Онлайн хандалт:https://hdl.handle.net/1721.1/156766