Network analysis of breast cancer progression and reversal using a tree-evolving network algorithm.
The HMT3522 progression series of human breast cells have been used to discover how tissue architecture, microenvironment and signaling molecules affect breast cell growth and behaviors. However, much remains to be elucidated about malignant and phenotypic reversion behaviors of the HMT3522-T4-2 cel...
Main Authors: | Ankur P Parikh, Ross E Curtis, Irene Kuhn, Sabine Becker-Weimann, Mina Bissell, Eric P Xing, Wei Wu |
---|---|
Format: | Article |
Language: | English |
Published: |
Public Library of Science (PLoS)
2014-07-01
|
Series: | PLoS Computational Biology |
Online Access: | http://europepmc.org/articles/PMC4109850?pdf=render |
Similar Items
-
Enabling dynamic network analysis through visualization in TVNViewer
by: Curtis Ross E, et al.
Published: (2012-08-01) -
"Reversed pigmentary network pattern" in evolving lesions of vitiligo
by: Sarvesh S Thatte, et al.
Published: (2015-01-01) -
Evolving digital ecological networks.
by: Miguel A Fortuna, et al.
Published: (2013-01-01) -
Weighted evolving networks
Published: () -
Topology of evolving networks
Published: ()