A supervised hidden markov model framework for efficiently segmenting tiling array data in transcriptional and chIP-chip experiments: systematically incorporating validated biological knowledge.
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| Title: | A supervised hidden markov model framework for efficiently segmenting tiling array data in transcriptional and chIP-chip experiments: systematically incorporating validated biological knowledge. |
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| Authors: | Du J; Department of Computer Science, Yale University, New Haven, CT 06520, USA., Rozowsky JS, Korbel JO, Zhang ZD, Royce TE, Schultz MH, Snyder M, Gerstein M |
| Source: | Bioinformatics (Oxford, England) [Bioinformatics] 2006 Dec 15; Vol. 22 (24), pp. 3016-24. Date of Electronic Publication: 2006 Oct 12. |
| Publication Type: | Evaluation Study; Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't; Validation Study |
| Journal Info: | Publisher: Oxford University Press Country of Publication: England NLM ID: 9808944 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1367-4811 (Electronic) Linking ISSN: 13674803 NLM ISO Abbreviation: Bioinformatics Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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