These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
596 related articles for article (PubMed ID: 18241343)
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; 9():80. PubMed ID: 18241343 [TBL] [Abstract][Full Text] [Related]
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. PubMed ID: 19583993 [TBL] [Abstract][Full Text] [Related]
3. Hum-PLoc: a novel ensemble classifier for predicting human protein subcellular localization. Chou KC; Shen HB Biochem Biophys Res Commun; 2006 Aug; 347(1):150-7. PubMed ID: 16808903 [TBL] [Abstract][Full Text] [Related]
4. 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; 90(2):573-81. PubMed ID: 17291684 [TBL] [Abstract][Full Text] [Related]
5. Ranking Gene Ontology terms for predicting non-classical secretory proteins in eukaryotes and prokaryotes. Huang WL J Theor Biol; 2012 Nov; 312():105-13. PubMed ID: 22967952 [TBL] [Abstract][Full Text] [Related]
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; 13():290. PubMed ID: 23130999 [TBL] [Abstract][Full Text] [Related]
7. Gene ontology based transfer learning for protein subcellular localization. Mei S; Fei W; Zhou S BMC Bioinformatics; 2011 Feb; 12():44. PubMed ID: 21284890 [TBL] [Abstract][Full Text] [Related]
8. Protein subcellular multi-localization prediction using a min-max modular support vector machine. Yang Y; Lu BL Int J Neural Syst; 2010 Feb; 20(1):13-28. PubMed ID: 20180250 [TBL] [Abstract][Full Text] [Related]
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; 9(3):e89545. PubMed ID: 24647341 [TBL] [Abstract][Full Text] [Related]
10. Prediction of protein subcellular localization. Yu CS; Chen YC; Lu CH; Hwang JK Proteins; 2006 Aug; 64(3):643-51. PubMed ID: 16752418 [TBL] [Abstract][Full Text] [Related]
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; 449():164-71. PubMed ID: 24361712 [TBL] [Abstract][Full Text] [Related]
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. PubMed ID: 17235453 [TBL] [Abstract][Full Text] [Related]
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. PubMed ID: 22185507 [TBL] [Abstract][Full Text] [Related]
14. Use of Chou's 5-steps rule to predict the subcellular localization of gram-negative and gram-positive bacterial proteins by multi-label learning based on gene ontology annotation and profile alignment. Bouziane H; Chouarfia A J Integr Bioinform; 2020 Jun; 18(1):51-79. PubMed ID: 32598314 [TBL] [Abstract][Full Text] [Related]
16. 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(Suppl 17):S13. PubMed ID: 23282098 [TBL] [Abstract][Full Text] [Related]
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; 9():52. PubMed ID: 18221520 [TBL] [Abstract][Full Text] [Related]
18. Assessing protein similarity with Gene Ontology and its use in subnuclear localization prediction. Lei Z; Dai Y BMC Bioinformatics; 2006 Nov; 7():491. PubMed ID: 17090318 [TBL] [Abstract][Full Text] [Related]
19. Cell-PLoc: a package of Web servers for predicting subcellular localization of proteins in various organisms. Chou KC; Shen HB Nat Protoc; 2008; 3(2):153-62. PubMed ID: 18274516 [TBL] [Abstract][Full Text] [Related]
20. 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. PubMed ID: 22303481 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]