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Protein sequences classification based on weighting scheme

We present a new technique to recognize remote protein homologies that rely on combining probabilistic modeling and supervised learning in high-dimensional feature spaces. The main novelty of our technique is the method of constructing feature vectors using Hidden Markov Model and the combination of...

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書誌詳細
主要な著者:	Zaki, N. M., Deris, Safaai, Md Illias, Rosli
フォーマット:	論文
言語:	English
出版事項:	Assumption University 2005
主題:	T Technology (General)
オンライン･アクセス:	http://eprints.utm.my/id/eprint/5576/1/N.M.Zaki2005_ProteinSequencesClassificationBasedOn.pdf http://eprints.utm.my/id/eprint/5576/
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