Computational modeling of cellular structures using conditional deep generative networks
Abstract
Cellular function is closely related to the localizations of its sub-structures. It is, however, challenging to experimentally label all sub-cellular structures simultaneously in the same cell. This raises the need of building a computational model to learn the relationships among these sub-cellular structures and use reference structures to infer the localizations of other structures.
Document Details
- Document Type
- Pub Defense Publication
- Publication Date
- Nov 06, 2018
- Source ID
- 10.1093/bioinformatics/bty923
Entities
People
- Hao Yuan
- Lei Cai
- Shaoting Zhang
- Shuiwang Ji
- Xia Hu
- Zhengyang Wang
Organizations
- Defense Advanced Research Projects Agency
- National Science Foundation
- Texas A&M University
- University of North Carolina at Charlotte
- Washington State University