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.
122 related articles for article (PubMed ID: 21255619)
1. Identify submitochondria and subchloroplast locations with pseudo amino acid composition: approach from the strategy of discrete wavelet transform feature extraction. Shi SP; Qiu JD; Sun XY; Huang JH; Huang SY; Suo SB; Liang RP; Zhang L Biochim Biophys Acta; 2011 Mar; 1813(3):424-30. PubMed ID: 21255619 [TBL] [Abstract][Full Text] [Related]
2. SubChlo: predicting protein subchloroplast locations with pseudo-amino acid composition and the evidence-theoretic K-nearest neighbor (ET-KNN) algorithm. Du P; Cao S; Li Y J Theor Biol; 2009 Nov; 261(2):330-5. PubMed ID: 19679138 [TBL] [Abstract][Full Text] [Related]
3. Predicting homo-oligomers and hetero-oligomers by pseudo-amino acid composition: an approach from discrete wavelet transformation. Qiu JD; Sun XY; Suo SB; Shi SP; Huang SY; Liang RP; Zhang L Biochimie; 2011 Jul; 93(7):1132-8. PubMed ID: 21466835 [TBL] [Abstract][Full Text] [Related]
4. Using the augmented Chou's pseudo amino acid composition for predicting protein submitochondria locations based on auto covariance approach. Zeng YH; Guo YZ; Xiao RQ; Yang L; Yu LZ; Li ML J Theor Biol; 2009 Jul; 259(2):366-72. PubMed ID: 19341746 [TBL] [Abstract][Full Text] [Related]
5. MultiP-SChlo: multi-label protein subchloroplast localization prediction with Chou's pseudo amino acid composition and a novel multi-label classifier. Wang X; Zhang W; Zhang Q; Li GZ Bioinformatics; 2015 Aug; 31(16):2639-45. PubMed ID: 25900916 [TBL] [Abstract][Full Text] [Related]
6. Prediction of protein submitochondria locations by hybridizing pseudo-amino acid composition with various physicochemical features of segmented sequence. Du P; Li Y BMC Bioinformatics; 2006 Nov; 7():518. PubMed ID: 17134515 [TBL] [Abstract][Full Text] [Related]
7. Predicting protein subchloroplast locations with both single and multiple sites via three different modes of Chou's pseudo amino acid compositions. Huang C; Yuan JQ J Theor Biol; 2013 Oct; 335():205-12. PubMed ID: 23850480 [TBL] [Abstract][Full Text] [Related]
8. Prediction of protein submitochondria locations based on data fusion of various features of sequences. Zakeri P; Moshiri B; Sadeghi M J Theor Biol; 2011 Jan; 269(1):208-16. PubMed ID: 21040732 [TBL] [Abstract][Full Text] [Related]
9. Genetic programming for creating Chou's pseudo amino acid based features for submitochondria localization. Nanni L; Lumini A Amino Acids; 2008 May; 34(4):653-60. PubMed ID: 18175047 [TBL] [Abstract][Full Text] [Related]
10. SCLAP: an adaptive boosting method for predicting subchloroplast localization of plant proteins. Saravanan V; Lakshmi PT OMICS; 2013 Feb; 17(2):106-15. PubMed ID: 23289782 [TBL] [Abstract][Full Text] [Related]
11. Predicting subcellular location of apoptosis proteins based on wavelet transform and support vector machine. Qiu JD; Luo SH; Huang JH; Sun XY; Liang RP Amino Acids; 2010 Apr; 38(4):1201-8. PubMed ID: 19653066 [TBL] [Abstract][Full Text] [Related]
12. Predicting protein submitochondria locations by combining different descriptors into the general form of Chou's pseudo amino acid composition. Fan GL; Li QZ Amino Acids; 2012 Aug; 43(2):545-55. PubMed ID: 22102053 [TBL] [Abstract][Full Text] [Related]
13. Multi-kernel transfer learning based on Chou's PseAAC formulation for protein submitochondria localization. Mei S J Theor Biol; 2012 Jan; 293():121-30. PubMed ID: 22037046 [TBL] [Abstract][Full Text] [Related]
14. OligoPred: a web-server for predicting homo-oligomeric proteins by incorporating discrete wavelet transform into Chou's pseudo amino acid composition. Qiu JD; Suo SB; Sun XY; Shi SP; Liang RP J Mol Graph Model; 2011 Sep; 30():129-34. PubMed ID: 21802968 [TBL] [Abstract][Full Text] [Related]
15. 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]
16. CE-PLoc: an ensemble classifier for predicting protein subcellular locations by fusing different modes of pseudo amino acid composition. Khan A; Majid A; Hayat M Comput Biol Chem; 2011 Aug; 35(4):218-29. PubMed ID: 21864791 [TBL] [Abstract][Full Text] [Related]
17. Predicting protein subcellular locations with feature selection and analysis. Cai Y; He J; Li X; Feng K; Lu L; Feng K; Kong X; Lu W Protein Pept Lett; 2010 Apr; 17(4):464-72. PubMed ID: 19995336 [TBL] [Abstract][Full Text] [Related]
18. Ensemble Linear Neighborhood Propagation for Predicting Subchloroplast Localization of Multi-Location Proteins. Wan S; Mak MW; Kung SY J Proteome Res; 2016 Dec; 15(12):4755-4762. PubMed ID: 27766879 [TBL] [Abstract][Full Text] [Related]
19. Using pseudo amino acid composition and binary-tree support vector machines to predict protein structural classes. Zhang TL; Ding YS Amino Acids; 2007 Nov; 33(4):623-9. PubMed ID: 17308864 [TBL] [Abstract][Full Text] [Related]
20. Prediction of protein subcellular multisite localization using a new feature extraction method. Wang LY; Wang D; Chen YH Genet Mol Res; 2016 Sep; 15(3):. PubMed ID: 27706790 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]