Clustering of time-course gene expression profiles using normal mixture models with autoregressive random effects

<p>Abstract</p> <p>Background</p> <p>Time-course gene expression data such as yeast cell cycle data may be periodically expressed. To cluster such data, currently used Fourier series approximations of periodic gene expressions have been found not to be sufficiently adequate to model the complexity o...

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Үндсэн зохиолчид:	Wang Kui, Ng Shu Kay, McLachlan Geoffrey J
Формат:	Artigo
Хэл сонгох:	Inglês
Хэвлэсэн:	BMC 2012-11-01
Цуврал:	BMC Bioinformatics
Нөхцлүүд:	Time-course data Mixtures of linear mixed models Autoregressive random effects EMMIX-WIRE procedure
Онлайн хандалт:	http://www.biomedcentral.com/1471-2105/13/300
Шошгууд:	Шошго нэмэх Шошго байхгүй, Энэхүү баримтыг шошголох эхний хүн болох!