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Journal Abstract Search
81 related items for PubMed ID: 21476196
21. ESVM: evolutionary support vector machine for automatic feature selection and classification of microarray data. Huang HL, Chang FL. Biosystems; 2007; 90(2):516-28. PubMed ID: 17280775 [Abstract] [Full Text] [Related]
22. Adaboost-SVM-based probability algorithm for the prediction of all mature miRNA sites based on structured-sequence features. Wang Y, Ru J, Jiang Y, Zhang J. Sci Rep; 2019 Feb 06; 9(1):1521. PubMed ID: 30728425 [Abstract] [Full Text] [Related]
23. Polymorphisms in human pre-miRNAs. Iwai N, Naraba H. Biochem Biophys Res Commun; 2005 Jun 17; 331(4):1439-44. PubMed ID: 15883035 [Abstract] [Full Text] [Related]
24. Computational identification of microRNAs in apple expressed sequence tags and validation of their precise sequences by miR-RACE. Yu H, Song C, Jia Q, Wang C, Li F, Nicholas KK, Zhang X, Fang J. Physiol Plant; 2011 Jan 17; 141(1):56-70. PubMed ID: 20875055 [Abstract] [Full Text] [Related]
25. CARSVM: a class association rule-based classification framework and its application to gene expression data. Kianmehr K, Alhajj R. Artif Intell Med; 2008 Sep 17; 44(1):7-25. PubMed ID: 18586476 [Abstract] [Full Text] [Related]
26. Prediction of protein subcellular localization. Yu CS, Chen YC, Lu CH, Hwang JK. Proteins; 2006 Aug 15; 64(3):643-51. PubMed ID: 16752418 [Abstract] [Full Text] [Related]
27. Bias in error estimation when using cross-validation for model selection. Varma S, Simon R. BMC Bioinformatics; 2006 Feb 23; 7():91. PubMed ID: 16504092 [Abstract] [Full Text] [Related]
28. TargetMiner: microRNA target prediction with systematic identification of tissue-specific negative examples. Bandyopadhyay S, Mitra R. Bioinformatics; 2009 Oct 15; 25(20):2625-31. PubMed ID: 19692556 [Abstract] [Full Text] [Related]
29. Identification of homologous microRNAs in 56 animal genomes. Li SC, Chan WC, Hu LY, Lai CH, Hsu CN, Lin WC. Genomics; 2010 Jul 15; 96(1):1-9. PubMed ID: 20347954 [Abstract] [Full Text] [Related]
30. A novel feature selection approach for biomedical data classification. Peng Y, Wu Z, Jiang J. J Biomed Inform; 2010 Feb 15; 43(1):15-23. PubMed ID: 19647098 [Abstract] [Full Text] [Related]
31. Computational identification of microRNAs and their targets in Gossypium hirsutum expressed sequence tags. Qiu CX, Xie FL, Zhu YY, Guo K, Huang SQ, Nie L, Yang ZM. Gene; 2007 Jun 15; 395(1-2):49-61. PubMed ID: 17408884 [Abstract] [Full Text] [Related]
32. Ensemble-based classification approach for micro-RNA mining applied on diverse metagenomic sequences. ElGokhy SM, ElHefnawi M, Shoukry A. BMC Res Notes; 2014 May 06; 7():286. PubMed ID: 24884968 [Abstract] [Full Text] [Related]
33. Mixture classification model based on clinical markers for breast cancer prognosis. Zeng T, Liu J. Artif Intell Med; 2010 May 06; 48(2-3):129-37. PubMed ID: 20005686 [Abstract] [Full Text] [Related]
34. Improved Pre-miRNA Classification by Reducing the Effect of Class Imbalance. Zhong Y, Xuan P, Han K, Zhang W, Li J. Biomed Res Int; 2015 May 06; 2015():960108. PubMed ID: 26640803 [Abstract] [Full Text] [Related]
35. [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 06; 20(3):484-7. PubMed ID: 14565019 [Abstract] [Full Text] [Related]
36. Mirnacle: machine learning with SMOTE and random forest for improving selectivity in pre-miRNA ab initio prediction. Marques YB, de Paiva Oliveira A, Ribeiro Vasconcelos AT, Cerqueira FR. BMC Bioinformatics; 2016 Dec 15; 17(Suppl 18):474. PubMed ID: 28105918 [Abstract] [Full Text] [Related]
37. Computational identification of novel family members of microRNA genes in Arabidopsis thaliana and Oryza sativa. Li Y, Li W, Jin YX. Acta Biochim Biophys Sin (Shanghai); 2005 Feb 15; 37(2):75-87. PubMed ID: 15685364 [Abstract] [Full Text] [Related]
38. Development of biomarker classifiers from high-dimensional data. Baek S, Tsai CA, Chen JJ. Brief Bioinform; 2009 Sep 15; 10(5):537-46. PubMed ID: 19346320 [Abstract] [Full Text] [Related]
39. An approach for the identification of microRNA with an application to Anopheles gambiae. Chatterjee R, Chaudhuri K. Acta Biochim Pol; 2006 Sep 15; 53(2):303-9. PubMed ID: 16770443 [Abstract] [Full Text] [Related]
40. Analyzing modular RNA structure reveals low global structural entropy in microRNA sequence. Shaw TI, Manzour A, Wang Y, Malmberg RL, Cai L. J Bioinform Comput Biol; 2011 Apr 15; 9(2):283-98. PubMed ID: 21523933 [Abstract] [Full Text] [Related] Page: [Previous] [Next] [New Search]