Please use this identifier to cite or link to this item:
http://dspace.cas.upm.edu.ph:8080/xmlui/handle/123456789/465
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Rodriguez, Danielle | - |
dc.date.accessioned | 2019-08-17T17:42:44Z | - |
dc.date.available | 2019-08-17T17:42:44Z | - |
dc.date.issued | 2017-06 | - |
dc.identifier.uri | http://dspace.cas.upm.edu.ph:8080/xmlui/handle/123456789/465 | - |
dc.description.abstract | Research has presented that when dealing with complex protein chains of various diseases, there is a large amount of proteins that interact with each other in di fferent ways. Due to the complexity of the control mechanisms involved, and the large number of possible interactions, there is a great need for computer-assisted tools. The Biological Net Extranalysis is a tool that helps the user visualize a graph, extract a subnetwork containing the relationships that are signi ficant in the network, and perform network analysis on the graph. | en_US |
dc.language.iso | en | en_US |
dc.subject | biological networks | en_US |
dc.subject | graph theory | en_US |
dc.subject | subnetwork | en_US |
dc.subject | graph centrality | en_US |
dc.title | Biological Network Analysis and Subnetwork Extraction Tool (Biological Net Extranalysis) | en_US |
dc.type | Thesis | en_US |
Appears in Collections: | Computer Science SP |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
RODRIGUEZ, Danielle M.pdf | SP Document | 2.7 MB | Adobe PDF | View/Open |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.