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.
178 related articles for article (PubMed ID: 24932510)
1. Mining gene expression data of multiple sclerosis. Guo P; Zhang Q; Zhu Z; Huang Z; Li K PLoS One; 2014; 9(6):e100052. PubMed ID: 24932510 [TBL] [Abstract][Full Text] [Related]
2. The feature selection bias problem in relation to high-dimensional gene data. Krawczuk J; Łukaszuk T Artif Intell Med; 2016 Jan; 66():63-71. PubMed ID: 26674595 [TBL] [Abstract][Full Text] [Related]
3. Recursive feature selection with significant variables of support vectors. Tsai CA; Huang CH; Chang CW; Chen CH Comput Math Methods Med; 2012; 2012():712542. PubMed ID: 22927888 [TBL] [Abstract][Full Text] [Related]
4. Identification of risk genes associated with myocardial infarction based on the recursive feature elimination algorithm and support vector machine classifier. Yang X Mol Med Rep; 2018 Jan; 17(1):1555-1560. PubMed ID: 29138828 [TBL] [Abstract][Full Text] [Related]
5. An Efficient Feature Selection Strategy Based on Multiple Support Vector Machine Technology with Gene Expression Data. Zhang Y; Deng Q; Liang W; Zou X Biomed Res Int; 2018; 2018():7538204. PubMed ID: 30228989 [TBL] [Abstract][Full Text] [Related]
6. A comparative study of different machine learning methods on microarray gene expression data. Pirooznia M; Yang JY; Yang MQ; Deng Y BMC Genomics; 2008; 9 Suppl 1(Suppl 1):S13. PubMed ID: 18366602 [TBL] [Abstract][Full Text] [Related]
7. A fast gene selection method for multi-cancer classification using multiple support vector data description. Cao J; Zhang L; Wang B; Li F; Yang J J Biomed Inform; 2015 Feb; 53():381-9. PubMed ID: 25549938 [TBL] [Abstract][Full Text] [Related]
8. FRL: An Integrative Feature Selection Algorithm Based on the Fisher Score, Recursive Feature Elimination, and Logistic Regression to Identify Potential Genomic Biomarkers. Ge C; Luo L; Zhang J; Meng X; Chen Y Biomed Res Int; 2021; 2021():4312850. PubMed ID: 34235216 [TBL] [Abstract][Full Text] [Related]
9. An ensemble correlation-based gene selection algorithm for cancer classification with gene expression data. Piao Y; Piao M; Park K; Ryu KH Bioinformatics; 2012 Dec; 28(24):3306-15. PubMed ID: 23060613 [TBL] [Abstract][Full Text] [Related]
10. Ensemble Feature Learning of Genomic Data Using Support Vector Machine. Anaissi A; Goyal M; Catchpoole DR; Braytee A; Kennedy PJ PLoS One; 2016; 11(6):e0157330. PubMed ID: 27304923 [TBL] [Abstract][Full Text] [Related]
11. Stable gene selection from microarray data via sample weighting. Yu L; Han Y; Berens ME IEEE/ACM Trans Comput Biol Bioinform; 2012; 9(1):262-72. PubMed ID: 21383420 [TBL] [Abstract][Full Text] [Related]
12. Mixture classification model based on clinical markers for breast cancer prognosis. Zeng T; Liu J Artif Intell Med; 2010; 48(2-3):129-37. PubMed ID: 20005686 [TBL] [Abstract][Full Text] [Related]
13. Identification of feature autophagy-related genes in patients with acute myocardial infarction based on bioinformatics analyses. Du Y; Zhao E; Zhang Y Biosci Rep; 2020 Jul; 40(7):. PubMed ID: 32597946 [TBL] [Abstract][Full Text] [Related]
14. Identification of blood-derived candidate gene markers and a new 7-gene diagnostic model for multiple sclerosis. Chen X; Hou H; Qiao H; Fan H; Zhao T; Dong M Biol Res; 2021 Apr; 54(1):12. PubMed ID: 33795012 [TBL] [Abstract][Full Text] [Related]
15. Inferring Multiple Sclerosis Stages from the Blood Transcriptome via Machine Learning. Acquaviva M; Menon R; Di Dario M; Dalla Costa G; Romeo M; Sangalli F; Colombo B; Moiola L; Martinelli V; Comi G; Farina C Cell Rep Med; 2020 Jul; 1(4):100053. PubMed ID: 33205062 [TBL] [Abstract][Full Text] [Related]
16. A GMM-IG framework for selecting genes as expression panel biomarkers. Wang M; Chen JY Artif Intell Med; 2010; 48(2-3):75-82. PubMed ID: 20004087 [TBL] [Abstract][Full Text] [Related]
17. Comparison of feature selection and classification for MALDI-MS data. Liu Q; Sung AH; Qiao M; Chen Z; Yang JY; Yang MQ; Huang X; Deng Y BMC Genomics; 2009 Jul; 10 Suppl 1(Suppl 1):S3. PubMed ID: 19594880 [TBL] [Abstract][Full Text] [Related]
18. Gene selection and classification for cancer microarray data based on machine learning and similarity measures. Liu Q; Sung AH; Chen Z; Liu J; Chen L; Qiao M; Wang Z; Huang X; Deng Y BMC Genomics; 2011 Dec; 12 Suppl 5(Suppl 5):S1. PubMed ID: 22369383 [TBL] [Abstract][Full Text] [Related]
19. Prediction of unenhanced lesion evolution in multiple sclerosis using radiomics-based models: a machine learning approach. Peng Y; Zheng Y; Tan Z; Liu J; Xiang Y; Liu H; Dai L; Xie Y; Wang J; Zeng C; Li Y Mult Scler Relat Disord; 2021 Aug; 53():102989. PubMed ID: 34052741 [TBL] [Abstract][Full Text] [Related]