271 related articles for article (PubMed ID: 21698097)
21. pLoc_bal-mGpos: Predict subcellular localization of Gram-positive bacterial proteins by quasi-balancing training dataset and PseAAC.
Xiao X; Cheng X; Chen G; Mao Q; Chou KC
Genomics; 2019 Jul; 111(4):886-892. PubMed ID: 29842950
[TBL] [Abstract][Full Text] [Related]
22. pLoc-mEuk: Predict subcellular localization of multi-label eukaryotic proteins by extracting the key GO information into general PseAAC.
Cheng X; Xiao X; Chou KC
Genomics; 2018 Jan; 110(1):50-58. PubMed ID: 28818512
[TBL] [Abstract][Full Text] [Related]
23. 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]
24. Euk-mPLoc: a fusion classifier for large-scale eukaryotic protein subcellular location prediction by incorporating multiple sites.
Chou KC; Shen HB
J Proteome Res; 2007 May; 6(5):1728-34. PubMed ID: 17397210
[TBL] [Abstract][Full Text] [Related]
25. pLoc_bal-mVirus: Predict Subcellular Localization of Multi-Label Virus Proteins by Chou's General PseAAC and IHTS Treatment to Balance Training Dataset.
Xiao X; Cheng X; Chen G; Mao Q; Chou KC
Med Chem; 2019; 15(5):496-509. PubMed ID: 30556503
[TBL] [Abstract][Full Text] [Related]
26. pLoc-mVirus: Predict subcellular localization of multi-location virus proteins via incorporating the optimal GO information into general PseAAC.
Cheng X; Xiao X; Chou KC
Gene; 2017 Sep; 628():315-321. PubMed ID: 28728979
[TBL] [Abstract][Full Text] [Related]
27. Virus-mPLoc: a fusion classifier for viral protein subcellular location prediction by incorporating multiple sites.
Shen HB; Chou KC
J Biomol Struct Dyn; 2010 Oct; 28(2):175-86. PubMed ID: 20645651
[TBL] [Abstract][Full Text] [Related]
28. pLoc-mHum: predict subcellular localization of multi-location human proteins via general PseAAC to winnow out the crucial GO information.
Cheng X; Xiao X; Chou KC
Bioinformatics; 2018 May; 34(9):1448-1456. PubMed ID: 29106451
[TBL] [Abstract][Full Text] [Related]
29. pLoc_bal-mEuk: Predict Subcellular Localization of Eukaryotic Proteins by General PseAAC and Quasi-balancing Training Dataset.
Chou KC; Cheng X; Xiao X
Med Chem; 2019; 15(5):472-485. PubMed ID: 30569871
[TBL] [Abstract][Full Text] [Related]
30. 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]
31. pLoc-mAnimal: predict subcellular localization of animal proteins with both single and multiple sites.
Cheng X; Zhao SG; Lin WZ; Xiao X; Chou KC
Bioinformatics; 2017 Nov; 33(22):3524-3531. PubMed ID: 29036535
[TBL] [Abstract][Full Text] [Related]
32. A top-down approach to enhance the power of predicting human protein subcellular localization: Hum-mPLoc 2.0.
Shen HB; Chou KC
Anal Biochem; 2009 Nov; 394(2):269-74. PubMed ID: 19651102
[TBL] [Abstract][Full Text] [Related]
33. Hum-mPLoc: an ensemble classifier for large-scale human protein subcellular location prediction by incorporating samples with multiple sites.
Shen HB; Chou KC
Biochem Biophys Res Commun; 2007 Apr; 355(4):1006-11. PubMed ID: 17346678
[TBL] [Abstract][Full Text] [Related]
34. iMem-Seq: A Multi-label Learning Classifier for Predicting Membrane Proteins Types.
Xiao X; Zou HL; Lin WZ
J Membr Biol; 2015 Aug; 248(4):745-52. PubMed ID: 25796484
[TBL] [Abstract][Full Text] [Related]
35. pLoc_bal-mAnimal: predict subcellular localization of animal proteins by balancing training dataset and PseAAC.
Cheng X; Lin WZ; Xiao X; Chou KC
Bioinformatics; 2019 Feb; 35(3):398-406. PubMed ID: 30010789
[TBL] [Abstract][Full Text] [Related]
36. iDNA-Prot: identification of DNA binding proteins using random forest with grey model.
Lin WZ; Fang JA; Xiao X; Chou KC
PLoS One; 2011; 6(9):e24756. PubMed ID: 21935457
[TBL] [Abstract][Full Text] [Related]
37. pLoc_bal-mPlant: Predict Subcellular Localization of Plant Proteins by General PseAAC and Balancing Training Dataset.
Cheng X; Xiao X; Chou KC
Curr Pharm Des; 2018; 24(34):4013-4022. PubMed ID: 30451108
[TBL] [Abstract][Full Text] [Related]
38. pLoc-mPlant: predict subcellular localization of multi-location plant proteins by incorporating the optimal GO information into general PseAAC.
Cheng X; Xiao X; Chou KC
Mol Biosyst; 2017 Aug; 13(9):1722-1727. PubMed ID: 28702580
[TBL] [Abstract][Full Text] [Related]
39. iLoc-lncRNA: predict the subcellular location of lncRNAs by incorporating octamer composition into general PseKNC.
Su ZD; Huang Y; Zhang ZY; Zhao YW; Wang D; Chen W; Chou KC; Lin H
Bioinformatics; 2018 Dec; 34(24):4196-4204. PubMed ID: 29931187
[TBL] [Abstract][Full Text] [Related]
40. iNR-PhysChem: a sequence-based predictor for identifying nuclear receptors and their subfamilies via physical-chemical property matrix.
Xiao X; Wang P; Chou KC
PLoS One; 2012; 7(2):e30869. PubMed ID: 22363503
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]