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Items: 1 to 20 of 116

1.

Asymmetric bagging and feature selection for activities prediction of drug molecules.

Li GZ, Meng HH, Lu WC, Yang JY, Yang MQ.

BMC Bioinformatics. 2008 May 28;9 Suppl 6:S7. doi: 10.1186/1471-2105-9-S6-S7.

2.

Feature selection for the imbalanced QSAR problems by using easyensemble.

Liu TY, Li GZ, Yang JY, Yang MQ.

Int J Comput Biol Drug Des. 2008;1(4):334-46.

PMID:
20063462
3.

Improving prediction accuracy of drug activities by utilising unlabelled instances with feature selection.

Li GZ, Yang JY, Lu WC, Li D, Yang MQ.

Int J Comput Biol Drug Des. 2008;1(1):1-13.

PMID:
20054997
4.
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6.

Distance based algorithms for small biomolecule classification and structural similarity search.

Karakoc E, Cherkasov A, Sahinalp SC.

Bioinformatics. 2006 Jul 15;22(14):e243-51.

7.

Estimating the domain of applicability for machine learning QSAR models: a study on aqueous solubility of drug discovery molecules.

Schroeter TS, Schwaighofer A, Mika S, Ter Laak A, Suelzle D, Ganzer U, Heinrich N, Müller KR.

J Comput Aided Mol Des. 2007 Sep;21(9):485-98.

PMID:
17632688
8.

Prediction of antibacterial compounds by machine learning approaches.

Yang XG, Chen D, Wang M, Xue Y, Chen YZ.

J Comput Chem. 2009 Jun;30(8):1202-11. doi: 10.1002/jcc.21148.

PMID:
18988254
9.

A comparison of machine learning algorithms for chemical toxicity classification using a simulated multi-scale data model.

Judson R, Elloumi F, Setzer RW, Li Z, Shah I.

BMC Bioinformatics. 2008 May 19;9:241. doi: 10.1186/1471-2105-9-241.

10.

Fast branch & bound algorithms for optimal feature selection.

Somol P, Pudil P, Kittler J.

IEEE Trans Pattern Anal Mach Intell. 2004 Jul;26(7):900-12. doi: 10.1109/TPAMI.2004.28.

PMID:
18579948
11.

Wrapper-filter feature selection algorithm using a memetic framework.

Zhu Z, Ong YS, Dash M.

IEEE Trans Syst Man Cybern B Cybern. 2007 Feb;37(1):70-6.

PMID:
17278560
12.

In silico prediction of mitochondrial toxicity by using GA-CG-SVM approach.

Zhang H, Chen QY, Xiang ML, Ma CY, Huang Q, Yang SY.

Toxicol In Vitro. 2009 Feb;23(1):134-40. doi: 10.1016/j.tiv.2008.09.017.

PMID:
18940245
13.

Feature subset selection for splice site prediction.

Degroeve S, De Baets B, Van de Peer Y, Rouzé P.

Bioinformatics. 2002;18 Suppl 2:S75-83.

14.
15.

Feature selection methods in QSAR studies.

Goodarzi M, Dejaegher B, Vander Heyden Y.

J AOAC Int. 2012 May-Jun;95(3):636-51. Review.

PMID:
22816254
16.

Asymmetric bagging and random subspace for support vector machines-based relevance feedback in image retrieval.

Tao D, Tang X, Li X, Wu X.

IEEE Trans Pattern Anal Mach Intell. 2006 Jul;28(7):1088-99.

PMID:
16792098
17.

Drug/nondrug classification using Support Vector Machines with various feature selection strategies.

Korkmaz S, Zararsiz G, Goksuluk D.

Comput Methods Programs Biomed. 2014 Nov;117(2):51-60. doi: 10.1016/j.cmpb.2014.08.009.

PMID:
25224081
18.

Feature selection based on mutual information: criteria of max-dependency, max-relevance, and min-redundancy.

Peng H, Long F, Ding C.

IEEE Trans Pattern Anal Mach Intell. 2005 Aug;27(8):1226-38.

PMID:
16119262
19.

Feature selection and transduction for prediction of molecular bioactivity for drug design.

Weston J, Pérez-Cruz F, Bousquet O, Chapelle O, Elisseeff A, Schölkopf B.

Bioinformatics. 2003 Apr 12;19(6):764-71.

20.

Genetic programming for simultaneous feature selection and classifier design.

Muni DP, Pal NR, Das J.

IEEE Trans Syst Man Cybern B Cybern. 2006 Feb;36(1):106-17.

PMID:
16468570
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