Detalhe da pesquisa
1.
Computational probing protein-protein interactions targeting small molecules.
Bioinformatics
; 32(2): 226-34, 2016 Jan 15.
Artigo
em Inglês
| MEDLINE | ID: mdl-26415726
2.
Phogly-PseAAC: Prediction of lysine phosphoglycerylation in proteins incorporating with position-specific propensity.
J Theor Biol
; 379: 10-5, 2015 Aug 21.
Artigo
em Inglês
| MEDLINE | ID: mdl-25913879
3.
Network predicting drug's anatomical therapeutic chemical code.
Bioinformatics
; 29(10): 1317-24, 2013 May 15.
Artigo
em Inglês
| MEDLINE | ID: mdl-23564845
4.
iHyd-PseAAC: predicting hydroxyproline and hydroxylysine in proteins by incorporating dipeptide position-specific propensity into pseudo amino acid composition.
Int J Mol Sci
; 15(5): 7594-610, 2014 May 05.
Artigo
em Inglês
| MEDLINE | ID: mdl-24857907
5.
Multiple Flat Projections for Cross-Manifold Clustering.
IEEE Trans Cybern
; 52(8): 7704-7718, 2022 Aug.
Artigo
em Inglês
| MEDLINE | ID: mdl-33523821
6.
Improving accuracy of protein-protein interaction prediction by considering the converse problem for sequence representation.
BMC Bioinformatics
; 12: 409, 2011 Oct 24.
Artigo
em Inglês
| MEDLINE | ID: mdl-22024143
7.
Generalized two-dimensional linear discriminant analysis with regularization.
Neural Netw
; 142: 73-91, 2021 Oct.
Artigo
em Inglês
| MEDLINE | ID: mdl-33984737
8.
Lysine acetylation sites prediction using an ensemble of support vector machine classifiers.
J Theor Biol
; 264(1): 130-5, 2010 May 07.
Artigo
em Inglês
| MEDLINE | ID: mdl-20085770
9.
Prediction of sumoylation sites in proteins using linear discriminant analysis.
Gene
; 576(1 Pt 1): 99-104, 2016 Jan 15.
Artigo
em Inglês
| MEDLINE | ID: mdl-26432000
10.
Twin support vector machine for clustering.
IEEE Trans Neural Netw Learn Syst
; 26(10): 2583-8, 2015 Oct.
Artigo
em Inglês
| MEDLINE | ID: mdl-25576578
11.
Robust L1-norm two-dimensional linear discriminant analysis.
Neural Netw
; 65: 92-104, 2015 May.
Artigo
em Inglês
| MEDLINE | ID: mdl-25721558
12.
iSuc-PseAAC: predicting lysine succinylation in proteins by incorporating peptide position-specific propensity.
Sci Rep
; 5: 10184, 2015 Jun 18.
Artigo
em Inglês
| MEDLINE | ID: mdl-26084794
13.
iNitro-Tyr: prediction of nitrotyrosine sites in proteins with general pseudo amino acid composition.
PLoS One
; 9(8): e105018, 2014.
Artigo
em Inglês
| MEDLINE | ID: mdl-25121969
14.
Prediction of protein methylation sites using conditional random field.
Protein Pept Lett
; 20(1): 71-7, 2013 Jan.
Artigo
em Inglês
| MEDLINE | ID: mdl-22789108
15.
iSNO-AAPair: incorporating amino acid pairwise coupling into PseAAC for predicting cysteine S-nitrosylation sites in proteins.
PeerJ
; 1: e171, 2013.
Artigo
em Inglês
| MEDLINE | ID: mdl-24109555
16.
A coordinate descent margin based-twin support vector machine for classification.
Neural Netw
; 25(1): 114-21, 2012 Jan.
Artigo
em Inglês
| MEDLINE | ID: mdl-21890319
17.
Improved prediction of palmitoylation sites using PWMs and SVM.
Protein Pept Lett
; 18(2): 186-93, 2011 Feb.
Artigo
em Inglês
| MEDLINE | ID: mdl-21054270
18.
Support vector machine prediction of enzyme function with conjoint triad feature and hierarchical context.
BMC Syst Biol
; 5 Suppl 1: S6, 2011 Jun 20.
Artigo
em Inglês
| MEDLINE | ID: mdl-21689481
19.
An efficient support vector machine approach for identifying protein S-nitrosylation sites.
Protein Pept Lett
; 18(6): 573-87, 2011 Jun.
Artigo
em Inglês
| MEDLINE | ID: mdl-21271979
20.
Kernel-based data fusion improves the drug-protein interaction prediction.
Comput Biol Chem
; 35(6): 353-62, 2011 Dec 14.
Artigo
em Inglês
| MEDLINE | ID: mdl-22099632