111 related articles for article (PubMed ID: 21096115)
1. Extracting very simple diagnostic rules from microarray data.
Wang L; Chu F
Annu Int Conf IEEE Eng Med Biol Soc; 2010; 2010():807-10. PubMed ID: 21096115
[TBL] [Abstract][Full Text] [Related]
2. A robust meta-classification strategy for cancer diagnosis from gene expression data.
Alexe G; Bhanot G; Venkataraghavan B; Ramaswamy R; Lepre J; Levine AJ; Stolovitzky G
Proc IEEE Comput Syst Bioinform Conf; 2005; ():322-5. PubMed ID: 16447989
[TBL] [Abstract][Full Text] [Related]
3. Kernel-imbedded Gaussian processes for disease classification using microarray gene expression data.
Zhao X; Cheung LW
BMC Bioinformatics; 2007 Feb; 8():67. PubMed ID: 17328811
[TBL] [Abstract][Full Text] [Related]
4. Smoothing blemished gene expression microarray data via missing value imputation.
Cai Z; Shi Y; Song M; Goebel R; Lin G
Annu Int Conf IEEE Eng Med Biol Soc; 2008; 2008():5688-91. PubMed ID: 19164008
[TBL] [Abstract][Full Text] [Related]
5. Toward a measure of classification complexity in gene expression signatures.
Kamath V; Yeatman TJ; Eschrich SA
Annu Int Conf IEEE Eng Med Biol Soc; 2008; 2008():5704-7. PubMed ID: 19164012
[TBL] [Abstract][Full Text] [Related]
6. An integrated feature selection and classification method to select minimum number of variables on the case study of gene expression data.
Goh L; Kasabov N
J Bioinform Comput Biol; 2005 Oct; 3(5):1107-36. PubMed ID: 16278950
[TBL] [Abstract][Full Text] [Related]
7. Simple decision rules for classifying human cancers from gene expression profiles.
Tan AC; Naiman DQ; Xu L; Winslow RL; Geman D
Bioinformatics; 2005 Oct; 21(20):3896-904. PubMed ID: 16105897
[TBL] [Abstract][Full Text] [Related]
8. Cancer molecular pattern discovery by subspace consensus kernel classification.
Han X
Comput Syst Bioinformatics Conf; 2007; 6():55-65. PubMed ID: 17951812
[TBL] [Abstract][Full Text] [Related]
9. A comprehensive evaluation of multicategory classification methods for microarray gene expression cancer diagnosis.
Statnikov A; Aliferis CF; Tsamardinos I; Hardin D; Levy S
Bioinformatics; 2005 Mar; 21(5):631-43. PubMed ID: 15374862
[TBL] [Abstract][Full Text] [Related]
10. Accurate cancer classification using expressions of very few genes.
Wang L; Chu F; Xie W
IEEE/ACM Trans Comput Biol Bioinform; 2007; 4(1):40-53. PubMed ID: 17277412
[TBL] [Abstract][Full Text] [Related]
11. Eigengene-based linear discriminant model for tumor classification using gene expression microarray data.
Shen R; Ghosh D; Chinnaiyan A; Meng Z
Bioinformatics; 2006 Nov; 22(21):2635-42. PubMed ID: 16926220
[TBL] [Abstract][Full Text] [Related]
12. Discovering biomarkers from gene expression data for predicting cancer subgroups using neural networks and relational fuzzy clustering.
Pal NR; Aguan K; Sharma A; Amari S
BMC Bioinformatics; 2007 Jan; 8():5. PubMed ID: 17207284
[TBL] [Abstract][Full Text] [Related]
13. Integration of clinical and microarray data with kernel methods.
Daemen A; Gevaert O; De Moor B
Annu Int Conf IEEE Eng Med Biol Soc; 2007; 2007():5411-5. PubMed ID: 18003232
[TBL] [Abstract][Full Text] [Related]
14. Robust Selection of Predictive Genes via a Simple Classifier.
Vinciotti V; Tucker A; Kellam P; Liu X
Appl Bioinformatics; 2006; 5(1):1-11. PubMed ID: 16539532
[TBL] [Abstract][Full Text] [Related]
15. Parallelization of multicategory support vector machines (PMC-SVM) for classifying microarray data.
Zhang C; Li P; Rajendran A; Deng Y; Chen D
BMC Bioinformatics; 2006 Dec; 7 Suppl 4(Suppl 4):S15. PubMed ID: 17217507
[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. 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]
18. Robust and accurate cancer classification with gene expression profiling.
Li H; Zhang K; Jiang T
Proc IEEE Comput Syst Bioinform Conf; 2005; ():310-21. PubMed ID: 16447988
[TBL] [Abstract][Full Text] [Related]
19. Multiclass molecular cancer classification by kernel subspace methods with effective kernel parameter selection.
Niijima S; Kuhara S
J Bioinform Comput Biol; 2005 Oct; 3(5):1071-88. PubMed ID: 16278948
[TBL] [Abstract][Full Text] [Related]
20. Regularization strategies for hyperplane classifiers: application to cancer classification with gene expression data.
Andries E; Hagstrom T; Atlas SR; Willman C
J Bioinform Comput Biol; 2007 Feb; 5(1):79-104. PubMed ID: 17477492
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
