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  Inferring Functional Modules of Protein Families with Probabilistic Topic Models

Konietzny, S., Dietz, L., & McHardy, A. (2011). Inferring Functional Modules of Protein Families with Probabilistic Topic Models. BMC Bioinformatics, 12: 141, pp. 141:1-141:14. doi:10.1186/1471-2105-12-141.

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-0010-146E-3 Version Permalink: https://hdl.handle.net/11858/00-001M-0000-0024-2301-9
Genre: Journal Article

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© 2011 Konietzny et al; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited
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 Creators:
Konietzny, Sebastian1, Author           
Dietz, Laura2, Author           
McHardy, Alice1, Author           
Affiliations:
1Computational Genomics and Epidemiology, MPI for Informatics, Max Planck Society, ou_1116546              
2Databases and Information Systems, MPI for Informatics, Max Planck Society, ou_24018              

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Language(s): eng - English
 Dates: 20112011
 Publication Status: Issued
 Pages: -
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 Table of Contents: -
 Rev. Type: -
 Identifiers: eDoc: 618929
DOI: 10.1186/1471-2105-12-141
URI: http://dx.doi.org/10.1186/1471-2105-12-141
Other: Local-ID: C1256DBF005F876D-06FA5AB836F698A4C125789200405CAF-DietzMcHardy2011
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Title: BMC Bioinformatics
Source Genre: Journal
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Publ. Info: London : BioMedCentral
Pages: - Volume / Issue: 12 Sequence Number: 141 Start / End Page: 141:1 - 141:14 Identifier: ISSN: 1471-2105