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Published in:
2013 | OriginalPaper | Chapter
Counting Motifs in the Entire Biological Network from Noisy and Incomplete Data
(Extended Abstract)
Authors : Ngoc Hieu Tran, Kwok Pui Choi, Louxin Zhang
Published in: Research in Computational Molecular Biology
Publisher: Springer Berlin Heidelberg
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Small 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.