148 related articles for article (PubMed ID: 21696153)
1. Classifying molecules using a sparse probabilistic kernel binary classifier.
Lowe R; Mussa HY; Mitchell JB; Glen RC
J Chem Inf Model; 2011 Jul; 51(7):1539-44. PubMed ID: 21696153
[TBL] [Abstract][Full Text] [Related]
2. Note on naive Bayes based on binary descriptors in cheminformatics.
Townsend JA; Glen RC; Mussa HY
J Chem Inf Model; 2012 Oct; 52(10):2494-500. PubMed ID: 22900941
[TBL] [Abstract][Full Text] [Related]
3. Improving gene expression cancer molecular pattern discovery using nonnegative principal component analysis.
Han X
Genome Inform; 2008; 21():200-11. PubMed ID: 19425159
[TBL] [Abstract][Full Text] [Related]
4. Classifying large chemical data sets: using a regularized potential function method.
Mussa HY; Hawizy L; Nigsch F; Glen RC
J Chem Inf Model; 2011 Jan; 51(1):4-14. PubMed ID: 21155612
[TBL] [Abstract][Full Text] [Related]
5. Low rank updated LS-SVM classifiers for fast variable selection.
Ojeda F; Suykens JA; De Moor B
Neural Netw; 2008; 21(2-3):437-49. PubMed ID: 18343309
[TBL] [Abstract][Full Text] [Related]
6. Relevance vector machine for optical diagnosis of cancer.
Majumder SK; Ghosh N; Gupta PK
Lasers Surg Med; 2005 Apr; 36(4):323-33. PubMed ID: 15825208
[TBL] [Abstract][Full Text] [Related]
7. Comparison of support vector machine and artificial neural network systems for drug/nondrug classification.
Byvatov E; Fechner U; Sadowski J; Schneider G
J Chem Inf Comput Sci; 2003; 43(6):1882-9. PubMed ID: 14632437
[TBL] [Abstract][Full Text] [Related]
8. Drug discovery using support vector machines. The case studies of drug-likeness, agrochemical-likeness, and enzyme inhibition predictions.
Zernov VV; Balakin KV; Ivaschenko AA; Savchuk NP; Pletnev IV
J Chem Inf Comput Sci; 2003; 43(6):2048-56. PubMed ID: 14632457
[TBL] [Abstract][Full Text] [Related]
9. Classification of cytochrome P450 inhibitors and noninhibitors using combined classifiers.
Cheng F; Yu Y; Shen J; Yang L; Li W; Liu G; Lee PW; Tang Y
J Chem Inf Model; 2011 May; 51(5):996-1011. PubMed ID: 21491913
[TBL] [Abstract][Full Text] [Related]
10. A multiple kernel support vector machine scheme for feature selection and rule extraction from gene expression data of cancer tissue.
Chen Z; Li J; Wei L
Artif Intell Med; 2007 Oct; 41(2):161-75. PubMed ID: 17851055
[TBL] [Abstract][Full Text] [Related]
11. A comparison of graph- and kernel-based -omics data integration algorithms for classifying complex traits.
Yan KK; Zhao H; Pang H
BMC Bioinformatics; 2017 Dec; 18(1):539. PubMed ID: 29212468
[TBL] [Abstract][Full Text] [Related]
12. SVM-based feature selection for characterization of focused compound collections.
Byvatov E; Schneider G
J Chem Inf Comput Sci; 2004; 44(3):993-9. PubMed ID: 15154767
[TBL] [Abstract][Full Text] [Related]
13. Prediction of protein subcellular localization.
Yu CS; Chen YC; Lu CH; Hwang JK
Proteins; 2006 Aug; 64(3):643-51. PubMed ID: 16752418
[TBL] [Abstract][Full Text] [Related]
14. New support vector-based design method for binary hierarchical classifiers for multi-class classification problems.
Wang YC; Casasent D
Neural Netw; 2008; 21(2-3):502-10. PubMed ID: 18187285
[TBL] [Abstract][Full Text] [Related]
15. ADME evaluation in drug discovery. 8. The prediction of human intestinal absorption by a support vector machine.
Hou T; Wang J; Li Y
J Chem Inf Model; 2007; 47(6):2408-15. PubMed ID: 17929911
[TBL] [Abstract][Full Text] [Related]
16. Data mining PubChem using a support vector machine with the Signature molecular descriptor: classification of factor XIa inhibitors.
Weis DC; Visco DP; Faulon JL
J Mol Graph Model; 2008 Nov; 27(4):466-75. PubMed ID: 18829357
[TBL] [Abstract][Full Text] [Related]
17. A comprehensive support vector machine binary hERG classification model based on extensive but biased end point hERG data sets.
Shen MY; Su BH; Esposito EX; Hopfinger AJ; Tseng YJ
Chem Res Toxicol; 2011 Jun; 24(6):934-49. PubMed ID: 21504223
[TBL] [Abstract][Full Text] [Related]
18. [Application of support vector machines to classification of blood cells].
Wang H; Zheng C; Li Y; Zhu H; Yan X
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2003 Sep; 20(3):484-7. PubMed ID: 14565019
[TBL] [Abstract][Full Text] [Related]
19. Handling missing values in support vector machine classifiers.
Pelckmans K; De Brabanter J; Suykens JA; De Moor B
Neural Netw; 2005; 18(5-6):684-92. PubMed ID: 16111866
[TBL] [Abstract][Full Text] [Related]
20. Classifying "kinase inhibitor-likeness" by using machine-learning methods.
Briem H; Günther J
Chembiochem; 2005 Mar; 6(3):558-66. PubMed ID: 15696507
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
