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Results: 1 to 20 of 66

Similar articles for PubMed (Select 20150999)

1.

Virtual screening of bioassay data.

Schierz AC.

J Cheminform. 2009 Dec 22;1:21. doi: 10.1186/1758-2946-1-21.

2.
3.

Evaluation of virtual screening performance of support vector machines trained by sparsely distributed active compounds.

Ma XH, Wang R, Yang SY, Li ZR, Xue Y, Wei YC, Low BC, Chen YZ.

J Chem Inf Model. 2008 Jun;48(6):1227-37. doi: 10.1021/ci800022e. Epub 2008 Jun 6.

PMID:
18533644
4.

Exploiting PubChem for Virtual Screening.

Xie XQ.

Expert Opin Drug Discov. 2010 Dec;5(12):1205-1220.

5.

Ligand-based virtual screening and in silico design of new antimalarial compounds using nonstochastic and stochastic total and atom-type quadratic maps.

Marrero-Ponce Y, Iyarreta-Veitía M, Montero-Torres A, Romero-Zaldivar C, Brandt CA, Avila PE, Kirchgatter K, Machado Y.

J Chem Inf Model. 2005 Jul-Aug;45(4):1082-100.

PMID:
16045304
6.

Minimizing false positives in kinase virtual screens.

Perola E.

Proteins. 2006 Aug 1;64(2):422-35.

PMID:
16708364
7.

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.

8.

Mixture classification model based on clinical markers for breast cancer prognosis.

Zeng T, Liu J.

Artif Intell Med. 2010 Feb-Mar;48(2-3):129-37. doi: 10.1016/j.artmed.2009.07.008. Epub 2009 Dec 14.

PMID:
20005686
9.

PubChem BioAssays as a data source for predictive models.

Chen B, Wild DJ.

J Mol Graph Model. 2010 Jan;28(5):420-6. doi: 10.1016/j.jmgm.2009.10.001. Epub 2009 Oct 12.

PMID:
19897391
10.

An approach for classification of highly imbalanced data using weighting and undersampling.

Anand A, Pugalenthi G, Fogel GB, Suganthan PN.

Amino Acids. 2010 Nov;39(5):1385-91. doi: 10.1007/s00726-010-0595-2. Epub 2010 Apr 22.

PMID:
20411285
11.

Uncovering false positives on a virtual screening search for cruzain inhibitors.

Malvezzi A, de Rezende L, Izidoro MA, Cezari MH, Juliano L, do Amaral A.

Bioorg Med Chem Lett. 2008 Jan 1;18(1):350-4. Epub 2007 Oct 24.

PMID:
17981033
12.

Improving structure-based virtual screening by multivariate analysis of scoring data.

Jacobsson M, Lidén P, Stjernschantz E, Boström H, Norinder U.

J Med Chem. 2003 Dec 18;46(26):5781-9.

PMID:
14667231
13.

Ensemble learning with active example selection for imbalanced biomedical data classification.

Oh S, Lee MS, Zhang BT.

IEEE/ACM Trans Comput Biol Bioinform. 2011 Mar-Apr;8(2):316-25. doi: 10.1109/TCBB.2010.96.

PMID:
20876935
14.

Enhanced HTS hit selection via a local hit rate analysis.

Posner BA, Xi H, Mills JE.

J Chem Inf Model. 2009 Oct;49(10):2202-10. doi: 10.1021/ci900113d.

PMID:
19795815
15.

Data shaving: a focused screening approach.

Schreyer SK, Parker CN, Maggiora GM.

J Chem Inf Comput Sci. 2004 Mar-Apr;44(2):470-9.

PMID:
15032526
16.

Virtual screening of Chinese herbs with Random Forest.

Ehrman TM, Barlow DJ, Hylands PJ.

J Chem Inf Model. 2007 Mar-Apr;47(2):264-78.

PMID:
17381165
17.

A support vector machines approach for virtual screening of active compounds of single and multiple mechanisms from large libraries at an improved hit-rate and enrichment factor.

Han LY, Ma XH, Lin HH, Jia J, Zhu F, Xue Y, Li ZR, Cao ZW, Ji ZL, Chen YZ.

J Mol Graph Model. 2008 Jun;26(8):1276-86. doi: 10.1016/j.jmgm.2007.12.002. Epub 2007 Dec 15.

PMID:
18218332
18.

Virtual screening in drug discovery -- a computational perspective.

Reddy AS, Pati SP, Kumar PP, Pradeep HN, Sastry GN.

Curr Protein Pept Sci. 2007 Aug;8(4):329-51. Review.

PMID:
17696867
19.

Identification of differential gene expression for microarray data using recursive random forest.

Wu XY, Wu ZY, Li K.

Chin Med J (Engl). 2008 Dec 20;121(24):2492-6.

PMID:
19187584
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