Cell neighbor determination in the metazoan embryo system Conference Paper
| Authors: | Wang, Z.; Wang, D.; Li, H.; Bao, Z. |
| Title: | Cell neighbor determination in the metazoan embryo system |
| Conference Title: | 8th ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics |
| Abstract: | Cell neighbor determination is a significant component in the simulation of a metazoan embryo system since it influences a number of fundamental biological processes, such as cell signaling, migration, and proliferation. Traditional approaches to find the neighbors of a cell such as Voronoi diagram successfully accomplish this goal, but are too time-consuming as the number of cells grows exponentially. In this paper, we propose a learning-based algorithm that determines the neighbors of specific cells in the metazoan embryo in real-time. We decrease the computational time by four orders of magnitude, and achieve an accuracy of 99.66%. For the verification purpose, the simulation results indicate that our model successfully reproduces the neighbor relationship in C. elegans Notch signaling pathways and cell-cell squeeze force modeling of the cell division process. © 2017 Association for Computing Machinery. |
| Keywords: | cell proliferation; cytology; signaling; bioinformatics; support vector machines; cells; cell signaling; cell-cell signaling; support vector machine; orders of magnitude; traditional approaches; cell neighbor determination; metazoan embryo system; voronoi; cell division process; learning-based algorithms; notch signaling pathways |
| Journal Title | ACM-BCB '17: Proceedings of the 8th ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics |
| Conference Dates: | 2017 Aug 20-23 |
| Conference Location: | Boston, MA |
| ISBN: | 978-1-4503-4722-8 |
| Publisher: | Assoc Computing Machinery |
| Date Published: | 2017-01-01 |
| Start Page: | 305 |
| End Page: | 312 |
| Language: | English |
| DOI: | 10.1145/3107411.3107465 |
| PROVIDER: | scopus |
| DOI/URL: | |
| Notes: | Conference Paper -- Export Date: 2 November 2017 -- Source: Scopus |
