These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
179 related articles for article (PubMed ID: 21721128)
1. Mutation probability of cytochrome P450 based on a genetic algorithm and support vector machine. Yao Y; Zhang T; Xiong Y; Li L; Huo J; Wei DQ Biotechnol J; 2011 Nov; 6(11):1367-76. PubMed ID: 21721128 [TBL] [Abstract][Full Text] [Related]
2. An integrated scheme for feature selection and parameter setting in the support vector machine modeling and its application to the prediction of pharmacokinetic properties of drugs. Yang SY; Huang Q; Li LL; Ma CY; Zhang H; Bai R; Teng QZ; Xiang ML; Wei YQ Artif Intell Med; 2009 Jun; 46(2):155-63. PubMed ID: 18701266 [TBL] [Abstract][Full Text] [Related]
3. Improved feature-based prediction of SNPs in human cytochrome P450 enzymes. Li L; Xiong Y; Zhang ZY; Guo Q; Xu Q; Liow HH; Zhang YH; Wei DQ Interdiscip Sci; 2015 Mar; 7(1):65-77. PubMed ID: 25792441 [TBL] [Abstract][Full Text] [Related]
4. SCYPPred: a web-based predictor of SNPs for human cytochrome P450. Li L; Wei DQ; Wang JF; Chou KC Protein Pept Lett; 2012 Jan; 19(1):57-61. PubMed ID: 21919859 [TBL] [Abstract][Full Text] [Related]
5. An improved support vector machine-based diabetic readmission prediction. Cui S; Wang D; Wang Y; Yu PW; Jin Y Comput Methods Programs Biomed; 2018 Nov; 166():123-135. PubMed ID: 30415712 [TBL] [Abstract][Full Text] [Related]
6. Computational identification of human long intergenic non-coding RNAs using a GA-SVM algorithm. Wang Y; Li Y; Wang Q; Lv Y; Wang S; Chen X; Yu X; Jiang W; Li X Gene; 2014 Jan; 533(1):94-9. PubMed ID: 24120395 [TBL] [Abstract][Full Text] [Related]
7. Machine Learning-Based Method for Obesity Risk Evaluation Using Single-Nucleotide Polymorphisms Derived from Next-Generation Sequencing. Wang HY; Chang SC; Lin WY; Chen CH; Chiang SH; Huang KY; Chu BY; Lu JJ; Lee TY J Comput Biol; 2018 Dec; 25(12):1347-1360. PubMed ID: 30204480 [TBL] [Abstract][Full Text] [Related]
8. A bioinformatics approach for the phenotype prediction of nonsynonymous single nucleotide polymorphisms in human cytochromes P450. Wang LL; Li Y; Zhou SF Drug Metab Dispos; 2009 May; 37(5):977-91. PubMed ID: 19204079 [TBL] [Abstract][Full Text] [Related]
9. A Genetic Algorithm Based Support Vector Machine Model for Blood-Brain Barrier Penetration Prediction. Zhang D; Xiao J; Zhou N; Zheng M; Luo X; Jiang H; Chen K Biomed Res Int; 2015; 2015():292683. PubMed ID: 26504797 [TBL] [Abstract][Full Text] [Related]
10. Prediction models of human plasma protein binding rate and oral bioavailability derived by using GA-CG-SVM method. Ma CY; Yang SY; Zhang H; Xiang ML; Huang Q; Wei YQ J Pharm Biomed Anal; 2008 Aug; 47(4-5):677-82. PubMed ID: 18455346 [TBL] [Abstract][Full Text] [Related]
11. Data-driven diagnosis of spinal abnormalities using feature selection and machine learning algorithms. Raihan-Al-Masud M; Mondal MRH PLoS One; 2020; 15(2):e0228422. PubMed ID: 32027680 [TBL] [Abstract][Full Text] [Related]
12. A universal deep learning approach for modeling the flow of patients under different severities. Jiang S; Chin KS; Tsui KL Comput Methods Programs Biomed; 2018 Feb; 154():191-203. PubMed ID: 29249343 [TBL] [Abstract][Full Text] [Related]
13. Recurrence predictive models for patients with hepatocellular carcinoma after radiofrequency ablation using support vector machines with feature selection methods. Liang JD; Ping XO; Tseng YJ; Huang GT; Lai F; Yang PM Comput Methods Programs Biomed; 2014 Dec; 117(3):425-34. PubMed ID: 25278224 [TBL] [Abstract][Full Text] [Related]
14. Prediction of P2Y12 antagonists using a novel genetic algorithm-support vector machine coupled approach. Hao M; Li Y; Wang Y; Zhang S Anal Chim Acta; 2011 Mar; 690(1):53-63. PubMed ID: 21414436 [TBL] [Abstract][Full Text] [Related]
15. Support vector machine-based prediction of local tumor control after stereotactic body radiation therapy for early-stage non-small cell lung cancer. Klement RJ; Allgäuer M; Appold S; Dieckmann K; Ernst I; Ganswindt U; Holy R; Nestle U; Nevinny-Stickel M; Semrau S; Sterzing F; Wittig A; Andratschke N; Guckenberger M Int J Radiat Oncol Biol Phys; 2014 Mar; 88(3):732-8. PubMed ID: 24411630 [TBL] [Abstract][Full Text] [Related]
16. 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. PubMed ID: 18940245 [TBL] [Abstract][Full Text] [Related]
17. Transfer learning for cytochrome P450 isozyme selectivity prediction. Teramoto R; Kato T J Bioinform Comput Biol; 2011 Aug; 9(4):521-40. PubMed ID: 21776607 [TBL] [Abstract][Full Text] [Related]
18. Prediction of protein structure class by coupling improved genetic algorithm and support vector machine. Li ZC; Zhou XB; Lin YR; Zou XY Amino Acids; 2008 Oct; 35(3):581-90. PubMed ID: 18427714 [TBL] [Abstract][Full Text] [Related]
19. Prediction of the phenotypic effects of non-synonymous single nucleotide polymorphisms using structural and evolutionary information. Bao L; Cui Y Bioinformatics; 2005 May; 21(10):2185-90. PubMed ID: 15746281 [TBL] [Abstract][Full Text] [Related]
20. Tuning to optimize SVM approach for assisting ovarian cancer diagnosis with photoacoustic imaging. Wang R; Li R; Lei Y; Zhu Q Biomed Mater Eng; 2015; 26 Suppl 1():S975-81. PubMed ID: 26406101 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]