A hidden Markov model-based algorithm for identifying tumour subtype using array CGH data

BACKGROUND: The recent advancement in array CGH (aCGH) research has significantly improved tumor identification using DNA copy number data. A number of unsupervised learning methods have been proposed for clustering aCGH samples. Two of the major challenges for developing aCGH sample clustering are...

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Detalles Bibliográficos
Autores principales: Zhang, Ke, Yang, Yi, Devanarayan, Viswanath, Xie, Linglin, Deng, Youping, Donald, Sens
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2011
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3287492/
https://www.ncbi.nlm.nih.gov/pubmed/22369459
http://dx.doi.org/10.1186/1471-2164-12-S5-S10

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3287492/
https://www.ncbi.nlm.nih.gov/pubmed/22369459
http://dx.doi.org/10.1186/1471-2164-12-S5-S10

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