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A hidden Markov support vector machine framework incorporating profile geometry learning for identifying microbial RNA in tiling array data

Motivation: RNA expression signals detected by high-density genomic tiling microarrays contain comprehensive transcriptomic information of the target organism. Current methods for determining the RNA transcription units are still computation intense and lack the discriminative power. This article de...

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Detaylı Bibliyografya
Asıl Yazarlar: Yu, Wen-Han, Høvik, Hedda, Chen, Tsute
Materyal Türü: Artigo
Dil:Inglês
Baskı/Yayın Bilgisi: Oxford University Press 2010
Konular:
Online Erişim:https://ncbi.nlm.nih.gov/pmc/articles/PMC2913668/
https://ncbi.nlm.nih.gov/pubmed/20395286
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/btq162
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