159 related articles for article (PubMed ID: 18003035)
1. A graph-theoretic technique for classification of normal and tumor tissues using gene expression microarray data.
Kim S
Annu Int Conf IEEE Eng Med Biol Soc; 2007; 2007():4621-4. PubMed ID: 18003035
[TBL] [Abstract][Full Text] [Related]
2. Constructing the gene regulation-level representation of microarray data for cancer classification.
Wong HS; Wang HQ
J Biomed Inform; 2008 Feb; 41(1):95-105. PubMed ID: 17499026
[TBL] [Abstract][Full Text] [Related]
3. Boosting for tumor classification with gene expression data.
Dettling M; Bühlmann P
Bioinformatics; 2003 Jun; 19(9):1061-9. PubMed ID: 12801866
[TBL] [Abstract][Full Text] [Related]
4. Kalman filtering for disease-state estimation from microarray data.
Kelemen JZ; Kertész-Farkas A; Kocsor A; Puskás LG
Bioinformatics; 2006 Dec; 22(24):3047-53. PubMed ID: 17065158
[TBL] [Abstract][Full Text] [Related]
5. Comparison of feature selection and classification combinations for cancer classification using microarray data.
Vinaya V; Bulsara N; Gadgil CJ; Gadgil M
Int J Bioinform Res Appl; 2009; 5(4):417-31. PubMed ID: 19640829
[TBL] [Abstract][Full Text] [Related]
6. Feature Subset Selection for Cancer Classification Using Weight Local Modularity.
Zhao G; Wu Y
Sci Rep; 2016 Oct; 6():34759. PubMed ID: 27703256
[TBL] [Abstract][Full Text] [Related]
7. 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]
8. Bayesian model averaging: development of an improved multi-class, gene selection and classification tool for microarray data.
Yeung KY; Bumgarner RE; Raftery AE
Bioinformatics; 2005 May; 21(10):2394-402. PubMed ID: 15713736
[TBL] [Abstract][Full Text] [Related]
9. Ensemble dependence model for classification and prediction of cancer and normal gene expression data.
Qiu P; Wang ZJ; Liu KJ
Bioinformatics; 2005 Jul; 21(14):3114-21. PubMed ID: 15879455
[TBL] [Abstract][Full Text] [Related]
10. A cDNA microarray gene expression data classifier for clinical diagnostics based on graph theory.
Benso A; Di Carlo S; Politano G
IEEE/ACM Trans Comput Biol Bioinform; 2011; 8(3):577-91. PubMed ID: 20855919
[TBL] [Abstract][Full Text] [Related]
11. Effects of replacing the unreliable cDNA microarray measurements on the disease classification based on gene expression profiles and functional modules.
Wang D; Lv Y; Guo Z; Li X; Li Y; Zhu J; Yang D; Xu J; Wang C; Rao S; Yang B
Bioinformatics; 2006 Dec; 22(23):2883-9. PubMed ID: 16809389
[TBL] [Abstract][Full Text] [Related]
12. Gene selection for microarray data classification via multi-objective graph theoretic-based method.
Rostami M; Forouzandeh S; Berahmand K; Soltani M; Shahsavari M; Oussalah M
Artif Intell Med; 2022 Jan; 123():102228. PubMed ID: 34998517
[TBL] [Abstract][Full Text] [Related]
13. Applications of support vector machines to cancer classification with microarray data.
Chu F; Wang L
Int J Neural Syst; 2005 Dec; 15(6):475-84. PubMed ID: 16385636
[TBL] [Abstract][Full Text] [Related]
14. Gene Selection via a New Hybrid Ant Colony Optimization Algorithm for Cancer Classification in High-Dimensional Data.
Bir-Jmel A; Douiri SM; Elbernoussi S
Comput Math Methods Med; 2019; 2019():7828590. PubMed ID: 31737086
[TBL] [Abstract][Full Text] [Related]
15. Using the information embedded in the testing sample to break the limits caused by the small sample size in microarray-based classification.
Zhu M; Martinez AM
BMC Bioinformatics; 2008 Jun; 9():280. PubMed ID: 18554411
[TBL] [Abstract][Full Text] [Related]
16. Independent component analysis-based penalized discriminant method for tumor classification using gene expression data.
Huang DS; Zheng CH
Bioinformatics; 2006 Aug; 22(15):1855-62. PubMed ID: 16709589
[TBL] [Abstract][Full Text] [Related]
17. Optimization models for cancer classification: extracting gene interaction information from microarray expression data.
Antonov AV; Tetko IV; Mader MT; Budczies J; Mewes HW
Bioinformatics; 2004 Mar; 20(5):644-52. PubMed ID: 15033871
[TBL] [Abstract][Full Text] [Related]
18. New gene selection method for multiclass tumor classification by class centroid.
Shen Q; Shi WM; Kong W
J Biomed Inform; 2009 Feb; 42(1):59-65. PubMed ID: 18835752
[TBL] [Abstract][Full Text] [Related]
19. Multiclass cancer classification and biomarker discovery using GA-based algorithms.
Liu JJ; Cutler G; Li W; Pan Z; Peng S; Hoey T; Chen L; Ling XB
Bioinformatics; 2005 Jun; 21(11):2691-7. PubMed ID: 15814557
[TBL] [Abstract][Full Text] [Related]
20. Accurate molecular classification of human cancers based on gene expression using a simple classifier with a pathological tree-based framework.
Shedden KA; Taylor JM; Giordano TJ; Kuick R; Misek DE; Rennert G; Schwartz DR; Gruber SB; Logsdon C; Simeone D; Kardia SL; Greenson JK; Cho KR; Beer DG; Fearon ER; Hanash S
Am J Pathol; 2003 Nov; 163(5):1985-95. PubMed ID: 14578198
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
