207 related articles for article (PubMed ID: 19009604)
1. Using support vector machines for prediction of protein structural classes based on discrete wavelet transform.
Qiu JD; Luo SH; Huang JH; Liang RP
J Comput Chem; 2009 Jun; 30(8):1344-50. PubMed ID: 19009604
[TBL] [Abstract][Full Text] [Related]
2. Prediction of protein structural classes using support vector machines.
Sun XD; Huang RB
Amino Acids; 2006 Jun; 30(4):469-75. PubMed ID: 16622605
[TBL] [Abstract][Full Text] [Related]
3. 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]
4. Prediction of protein structural classes by Chou's pseudo amino acid composition: approached using continuous wavelet transform and principal component analysis.
Li ZC; Zhou XB; Dai Z; Zou XY
Amino Acids; 2009 Jul; 37(2):415-25. PubMed ID: 18726140
[TBL] [Abstract][Full Text] [Related]
5. Prediction of protein subcellular localization by support vector machines using multi-scale energy and pseudo amino acid composition.
Shi JY; Zhang SW; Pan Q; Cheng YM; Xie J
Amino Acids; 2007 Jul; 33(1):69-74. PubMed ID: 17235454
[TBL] [Abstract][Full Text] [Related]
6. Using Bagging classifier to predict protein domain structural class.
Dong L; Yuan Y; Cai Y
J Biomol Struct Dyn; 2006 Dec; 24(3):239-42. PubMed ID: 17054381
[TBL] [Abstract][Full Text] [Related]
7. gamma-Turn types prediction in proteins using the support vector machines.
Jahandideh S; Sarvestani AS; Abdolmaleki P; Jahandideh M; Barfeie M
J Theor Biol; 2007 Dec; 249(4):785-90. PubMed ID: 17936305
[TBL] [Abstract][Full Text] [Related]
8. Using support vector machines to distinguish enzymes: approached by incorporating wavelet transform.
Qiu JD; Luo SH; Huang JH; Liang RP
J Theor Biol; 2009 Feb; 256(4):625-31. PubMed ID: 19049810
[TBL] [Abstract][Full Text] [Related]
9. Using LogitBoost classifier to predict protein structural classes.
Cai YD; Feng KY; Lu WC; Chou KC
J Theor Biol; 2006 Jan; 238(1):172-6. PubMed ID: 16043193
[TBL] [Abstract][Full Text] [Related]
10. 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]
11. [Protein structural class prediction with binary tree-based support vector machines].
Zhang T; Ding Y
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2008 Aug; 25(4):921-4. PubMed ID: 18788309
[TBL] [Abstract][Full Text] [Related]
12. Fine-grained protein fold assignment by support vector machines using generalized npeptide coding schemes and jury voting from multiple-parameter sets.
Yu CS; Wang JY; Yang JM; Lyu PC; Lin CJ; Hwang JK
Proteins; 2003 Mar; 50(4):531-6. PubMed ID: 12577258
[TBL] [Abstract][Full Text] [Related]
13. Using supervised fuzzy clustering to predict protein structural classes.
Shen HB; Yang J; Liu XJ; Chou KC
Biochem Biophys Res Commun; 2005 Aug; 334(2):577-81. PubMed ID: 16023077
[TBL] [Abstract][Full Text] [Related]
14. Combining prediction of secondary structure and solvent accessibility in proteins.
Adamczak R; Porollo A; Meller J
Proteins; 2005 May; 59(3):467-75. PubMed ID: 15768403
[TBL] [Abstract][Full Text] [Related]
15. Using pseudo amino acid composition to predict protein structural classes: approached with complexity measure factor.
Xiao X; Shao SH; Huang ZD; Chou KC
J Comput Chem; 2006 Mar; 27(4):478-82. PubMed ID: 16429410
[TBL] [Abstract][Full Text] [Related]
16. Prediction of G-protein-coupled receptor classes based on the concept of Chou's pseudo amino acid composition: an approach from discrete wavelet transform.
Qiu JD; Huang JH; Liang RP; Lu XQ
Anal Biochem; 2009 Jul; 390(1):68-73. PubMed ID: 19364489
[TBL] [Abstract][Full Text] [Related]
17. Predicting protein structural class based on multi-features fusion.
Chen C; Chen LX; Zou XY; Cai PX
J Theor Biol; 2008 Jul; 253(2):388-92. PubMed ID: 18423494
[TBL] [Abstract][Full Text] [Related]
18. Multi-class support vector machines for protein secondary structure prediction.
Nguyen MN; Rajapakse JC
Genome Inform; 2003; 14():218-27. PubMed ID: 15706536
[TBL] [Abstract][Full Text] [Related]
19. Using support vector machine to predict beta- and gamma-turns in proteins.
Hu X; Li Q
J Comput Chem; 2008 Sep; 29(12):1867-75. PubMed ID: 18432623
[TBL] [Abstract][Full Text] [Related]
20. LOCUSTRA: accurate prediction of local protein structure using a two-layer support vector machine approach.
Zimmermann O; Hansmann UH
J Chem Inf Model; 2008 Sep; 48(9):1903-8. PubMed ID: 18763837
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]