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Items: 1 to 20 of 384

1.

ProLoc-GO: utilizing informative Gene Ontology terms for sequence-based prediction of protein subcellular localization.

Huang WL, Tung CW, Ho SW, Hwang SF, Ho SY.

BMC Bioinformatics. 2008 Feb 1;9:80. doi: 10.1186/1471-2105-9-80.

2.

Predicting protein subnuclear localization using GO-amino-acid composition features.

Huang WL, Tung CW, Huang HL, Ho SY.

Biosystems. 2009 Nov;98(2):73-9. doi: 10.1016/j.biosystems.2009.06.007. Epub 2009 Jul 5.

PMID:
19583993
3.

Hum-PLoc: a novel ensemble classifier for predicting human protein subcellular localization.

Chou KC, Shen HB.

Biochem Biophys Res Commun. 2006 Aug 18;347(1):150-7. Epub 2006 Jun 21. Erratum in: Biochem Biophys Res Commun. 2006 Oct 6;348(4):1479.

PMID:
16808903
4.

Ranking Gene Ontology terms for predicting non-classical secretory proteins in eukaryotes and prokaryotes.

Huang WL.

J Theor Biol. 2012 Nov 7;312:105-13. doi: 10.1016/j.jtbi.2012.07.027. Epub 2012 Aug 8.

5.

ProLoc: prediction of protein subnuclear localization using SVM with automatic selection from physicochemical composition features.

Huang WL, Tung CW, Huang HL, Hwang SF, Ho SY.

Biosystems. 2007 Sep-Oct;90(2):573-81. Epub 2007 Jan 4.

PMID:
17291684
6.

mGOASVM: Multi-label protein subcellular localization based on gene ontology and support vector machines.

Wan S, Mak MW, Kung SY.

BMC Bioinformatics. 2012 Nov 6;13:290. doi: 10.1186/1471-2105-13-290.

7.

Gene ontology based transfer learning for protein subcellular localization.

Mei S, Fei W, Zhou S.

BMC Bioinformatics. 2011 Feb 2;12:44. doi: 10.1186/1471-2105-12-44.

8.
9.

HybridGO-Loc: mining hybrid features on gene ontology for predicting subcellular localization of multi-location proteins.

Wan S, Mak MW, Kung SY.

PLoS One. 2014 Mar 19;9(3):e89545. doi: 10.1371/journal.pone.0089545. eCollection 2014.

10.

Prediction of protein subcellular localization.

Yu CS, Chen YC, Lu CH, Hwang JK.

Proteins. 2006 Aug 15;64(3):643-51.

PMID:
16752418
11.

MSLoc-DT: a new method for predicting the protein subcellular location of multispecies based on decision templates.

Zhang SW, Liu YF, Yu Y, Zhang TH, Fan XN.

Anal Biochem. 2014 Mar 15;449:164-71. doi: 10.1016/j.ab.2013.12.013. Epub 2013 Dec 21.

PMID:
24361712
12.

Euk-PLoc: an ensemble classifier for large-scale eukaryotic protein subcellular location prediction.

Shen HB, Yang J, Chou KC.

Amino Acids. 2007 Jul;33(1):57-67. Epub 2007 Jan 19.

PMID:
17235453
13.

Prediction of protein subcellular multi-localization based on the general form of Chou's pseudo amino acid composition.

Li LQ, Zhang Y, Zou LY, Zhou Y, Zheng XQ.

Protein Pept Lett. 2012 Apr;19(4):375-87.

PMID:
22185507
14.

Prediction of nuclear proteins using nuclear translocation signals proposed by probabilistic latent semantic indexing.

Su EC, Chang JM, Cheng CW, Sung TY, Hsu WL.

BMC Bioinformatics. 2012;13 Suppl 17:S13. doi: 10.1186/1471-2105-13-S17-S13. Epub 2012 Dec 13.

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17.

The development of PIPA: an integrated and automated pipeline for genome-wide protein function annotation.

Yu C, Zavaljevski N, Desai V, Johnson S, Stevens FJ, Reifman J.

BMC Bioinformatics. 2008 Jan 25;9:52. doi: 10.1186/1471-2105-9-52.

19.

An ensemble classifier for eukaryotic protein subcellular location prediction using gene ontology categories and amino acid hydrophobicity.

Li L, Zhang Y, Zou L, Li C, Yu B, Zheng X, Zhou Y.

PLoS One. 2012;7(1):e31057. doi: 10.1371/journal.pone.0031057. Epub 2012 Jan 30.

20.

mLASSO-Hum: A LASSO-based interpretable human-protein subcellular localization predictor.

Wan S, Mak MW, Kung SY.

J Theor Biol. 2015 Oct 7;382:223-34. doi: 10.1016/j.jtbi.2015.06.042. Epub 2015 Jul 9.

PMID:
26164062

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