Neural network approaches, including use of topological data analysis, enhance classification of human induced pluripotent stem cell colonies by treatment condition.
Understanding how stem cells organize to form early tissue layers remains an important open question in developmental biology. Helpful in understanding this process are biomarkers or features that signal when a significant transition or decision occurs. We show such features from the spatial layout...
Saved in:
| Main Authors: | Alexander Ruys de Perez, Paul E Anderson, Elena S Dimitrova, Melissa L Kemp |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2025-07-01
|
| Series: | PLoS Computational Biology |
| Online Access: | https://doi.org/10.1371/journal.pcbi.1012801 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Topological data analysis of pattern formation of human induced pluripotent stem cell colonies
by: Iryna Hartsock, et al.
Published: (2025-04-01) -
Image Processing Application for Pluripotent Stem Cell Colony Migration Quantification
by: Timofey Chibyshev, et al.
Published: (2024-11-01) -
Two factor reprogramming of human neural stem cells into pluripotency.
by: Mark E Hester, et al.
Published: (2009-09-01) -
In vivo differentiation of induced pluripotent stem cells into neural stem cells by chimera formation.
by: Hyun Woo Choi, et al.
Published: (2017-01-01) -
Notch promotes neural lineage entry by pluripotent embryonic stem cells.
by: Sally Lowell, et al.
Published: (2006-05-01)