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		题名	作者	年代	出处	被引量
	1	Bagging with CTD–A Novel Signature for the Hierarchical Prediction of Secreted Protein Trafcking in Eukaryotes显示文摘Protein traffcking or protein sorting in eukaryotes is a complicated process and is carried out based on the information contained in the protein.Many methods reported prediction of the subcellular location of proteins from sequence information.However,most of these prediction methods use a flat structure or parallel architecture to perform prediction.In this work,we introduce ensemble classifers with features that are extracted directly from full length protein sequences to predict locations in the protein-sorting pathway hierarchically.Sequence driven features,sequence mapped features and sequence autocorrelation features were tested with ensemble learners and their performances were compared.When evaluated by independent data testing,ensemble based-bagging algorithms with sequence feature composition,transition and distribution(CTD)successfully classifed two datasets with accuracies greater than 90%.We compared our results with similar published methods,and our method equally performed with the others at two levels in the secreted pathway.This study shows that the feature CTD extracted from protein sequences is effective in capturing biological features among compartments in secreted pathways.	Geetha Govindan Achuthsankar S.Nair	2013	Genomics, Proteomics & Bioinformatics2013，11，6：	1
	2	A coding measure scheme employing electron-ion interaction pseudopo-tential(EIIP) 显示文摘	ACHUTHSANKAR S NAIR SIVARAMA PILLAI SREENADHAN	2006	Bioinfomation2006，1，6：	1
	3	Identification and analysis of novel microRNAs from fragile sites of human cervical cancer: Computational and experimental approach显示文摘	G. Reshmi S.S. Vinod Chandra V. Janki Mohan Babu P.S. Saneesh Babu W.S. Santhi Surya Ramachandran S. Lakshmi Achuthsankar S. Nair M. Radhakrishna Pillai	2011	Genomics2011，，6：	1

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