1. ScholarBank@NUS
  2. 1. Staff
  3. Staff Publications
Please use this identifier to cite or link to this item: https://doi.org/10.1007/978-3-642-37195-0_24
DC FieldValue
dc.titleCounting motifs in the entire biological network from noisy and incomplete data (extended abstract)
dc.contributor.authorTran, N.H.
dc.contributor.authorChoi, K.P.
dc.contributor.authorZhang, L.
dc.date.accessioned2014-05-19T02:56:36Z
dc.date.available2014-05-19T02:56:36Z
dc.date.issued2013
dc.identifier.citationTran, N.H.,Choi, K.P.,Zhang, L. (2013). Counting motifs in the entire biological network from noisy and incomplete data (extended abstract). Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 7821 LNBI : 269-270. ScholarBank@NUS Repository. <a href="https://doi.org/10.1007/978-3-642-37195-0_24" target="_blank">https://doi.org/10.1007/978-3-642-37195-0_24</a>
dc.identifier.isbn9783642371943
dc.identifier.issn03029743
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/53282
dc.description.abstractSmall over-represented motifs in biological networks are believed to represent essential functional units of biological processes. A natural question is to gauge whether a motif occurs abundantly or rarely in a biological network. Given that high-throughput biotechnology is only able to interrogate a portion of the entire biological network with non-negligible errors, we develop a powerful method to correct link errors in estimating undirected or directed motif counts in the entire network from noisy subnetwork data. © 2013 Springer-Verlag.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1007/978-3-642-37195-0_24
dc.sourceScopus
dc.typeConference Paper
dc.contributor.departmentSTATISTICS & APPLIED PROBABILITY
dc.contributor.departmentMATHEMATICS
dc.description.doi10.1007/978-3-642-37195-0_24
dc.description.sourcetitleLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
dc.description.volume7821 LNBI
dc.description.page269-270
dc.identifier.isiutNOT_IN_WOS
Appears in Collections:Staff Publications

Show simple item record
Files in This Item:
There are no files associated with this item.

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.