324 related articles for article (PubMed ID: 17981580)
1. Classification algorithms for phenotype prediction in genomics and proteomics.
Ressom HW; Varghese RS; Zhang Z; Xuan J; Clarke R
Front Biosci; 2008 Jan; 13():691-708. PubMed ID: 17981580
[TBL] [Abstract][Full Text] [Related]
2. Feature selection and nearest centroid classification for protein mass spectrometry.
Levner I
BMC Bioinformatics; 2005 Mar; 6():68. PubMed ID: 15788095
[TBL] [Abstract][Full Text] [Related]
3. 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]
4. Toward digital staining using imaging mass spectrometry and random forests.
Hanselmann M; Köthe U; Kirchner M; Renard BY; Amstalden ER; Glunde K; Heeren RM; Hamprecht FA
J Proteome Res; 2009 Jul; 8(7):3558-67. PubMed ID: 19469555
[TBL] [Abstract][Full Text] [Related]
5. Class prediction and discovery using gene microarray and proteomics mass spectroscopy data: curses, caveats, cautions.
Somorjai RL; Dolenko B; Baumgartner R
Bioinformatics; 2003 Aug; 19(12):1484-91. PubMed ID: 12912828
[TBL] [Abstract][Full Text] [Related]
6. An entropy-based gene selection method for cancer classification using microarray data.
Liu X; Krishnan A; Mondry A
BMC Bioinformatics; 2005 Mar; 6():76. PubMed ID: 15790388
[TBL] [Abstract][Full Text] [Related]
7. Compact cancer biomarkers discovery using a swarm intelligence feature selection algorithm.
Martinez E; Alvarez MM; Trevino V
Comput Biol Chem; 2010 Aug; 34(4):244-50. PubMed ID: 20888301
[TBL] [Abstract][Full Text] [Related]
8. Tumor classification ranking from microarray data.
Hewett R; Kijsanayothin P
BMC Genomics; 2008 Sep; 9 Suppl 2(Suppl 2):S21. PubMed ID: 18831787
[TBL] [Abstract][Full Text] [Related]
9. Recursive SVM feature selection and sample classification for mass-spectrometry and microarray data.
Zhang X; Lu X; Shi Q; Xu XQ; Leung HC; Harris LN; Iglehart JD; Miron A; Liu JS; Wong WH
BMC Bioinformatics; 2006 Apr; 7():197. PubMed ID: 16606446
[TBL] [Abstract][Full Text] [Related]
10. Robust feature selection for microarray data based on multicriterion fusion.
Yang F; Mao KZ
IEEE/ACM Trans Comput Biol Bioinform; 2011; 8(4):1080-92. PubMed ID: 21566255
[TBL] [Abstract][Full Text] [Related]
11. SVS: data and knowledge integration in computational biology.
Zycinski G; Barla A; Verri A
Annu Int Conf IEEE Eng Med Biol Soc; 2011; 2011():6474-8. PubMed ID: 22255821
[TBL] [Abstract][Full Text] [Related]
12. An ensemble approach for phenotype classification based on fuzzy partitioning of gene expression data.
Dragomir A; Maraziotis I; Bezerianos A
Conf Proc IEEE Eng Med Biol Soc; 2006; 2006():5834-7. PubMed ID: 17946338
[TBL] [Abstract][Full Text] [Related]
13. Genetic programming based ensemble system for microarray data classification.
Liu KH; Tong M; Xie ST; Yee Ng VT
Comput Math Methods Med; 2015; 2015():193406. PubMed ID: 25810748
[TBL] [Abstract][Full Text] [Related]
14. Laplacian linear discriminant analysis approach to unsupervised feature selection.
Niijima S; Okuno Y
IEEE/ACM Trans Comput Biol Bioinform; 2009; 6(4):605-14. PubMed ID: 19875859
[TBL] [Abstract][Full Text] [Related]
15. Quadratic regression analysis for gene discovery and pattern recognition for non-cyclic short time-course microarray experiments.
Liu H; Tarima S; Borders AS; Getchell TV; Getchell ML; Stromberg AJ
BMC Bioinformatics; 2005 Apr; 6():106. PubMed ID: 15850479
[TBL] [Abstract][Full Text] [Related]
16. A novel feature selection approach for biomedical data classification.
Peng Y; Wu Z; Jiang J
J Biomed Inform; 2010 Feb; 43(1):15-23. PubMed ID: 19647098
[TBL] [Abstract][Full Text] [Related]
17. Cancer classification and prediction using logistic regression with Bayesian gene selection.
Zhou X; Liu KY; Wong ST
J Biomed Inform; 2004 Aug; 37(4):249-59. PubMed ID: 15465478
[TBL] [Abstract][Full Text] [Related]
18. Avoiding common pitfalls in machine learning omic data science.
Teschendorff AE
Nat Mater; 2019 May; 18(5):422-427. PubMed ID: 30478452
[No Abstract] [Full Text] [Related]
19. A comprehensive comparison of random forests and support vector machines for microarray-based cancer classification.
Statnikov A; Wang L; Aliferis CF
BMC Bioinformatics; 2008 Jul; 9():319. PubMed ID: 18647401
[TBL] [Abstract][Full Text] [Related]
20. Applications of nonlinear system identification in molecular biology.
Korenberg MJ
Conf Proc IEEE Eng Med Biol Soc; 2006; 2006():256-9. PubMed ID: 17946811
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
