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Biclustering models under collinearity in simulated biological experiments

Biclustering models allow simultaneous detection of group observations that are related to variables in a data matrix. Such methods have been applied in biological data for classification. Collinearity is a common feature in biological data as there exist interactions between genes and proteins in t...

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書誌詳細
主要な著者:	Nnamani, Chibuike, Ahmad, Norhaiza
フォーマット:	論文
言語:	English
出版事項:	Penerbit UTM Press 2023
主題:	QA Mathematics
オンライン･アクセス:	http://eprints.utm.my/105445/1/NorhaizaAhmad2023_BiclusteringModelsUnderCollinearityinSimulated.pdf http://eprints.utm.my/105445/ http://dx.doi.org/10.11113/matematika.v39.n3.1461
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