3247 related articles for article (PubMed ID: 20005686)
1. 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]
2. 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]
3. Limits of predictive models using microarray data for breast cancer clinical treatment outcome.
Reid JF; Lusa L; De Cecco L; Coradini D; Veneroni S; Daidone MG; Gariboldi M; Pierotti MA
J Natl Cancer Inst; 2005 Jun; 97(12):927-30. PubMed ID: 15956654
[TBL] [Abstract][Full Text] [Related]
4. Challenges in projecting clustering results across gene expression-profiling datasets.
Lusa L; McShane LM; Reid JF; De Cecco L; Ambrogi F; Biganzoli E; Gariboldi M; Pierotti MA
J Natl Cancer Inst; 2007 Nov; 99(22):1715-23. PubMed ID: 18000217
[TBL] [Abstract][Full Text] [Related]
5. Tumor classification by combining PNN classifier ensemble with neighborhood rough set based gene reduction.
Wang SL; Li X; Zhang S; Gui J; Huang DS
Comput Biol Med; 2010 Feb; 40(2):179-89. PubMed ID: 20044083
[TBL] [Abstract][Full Text] [Related]
6. CARSVM: a class association rule-based classification framework and its application to gene expression data.
Kianmehr K; Alhajj R
Artif Intell Med; 2008 Sep; 44(1):7-25. PubMed ID: 18586476
[TBL] [Abstract][Full Text] [Related]
7. 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]
8. [Prognostic molecular classification of breast cancers based on gene expression profiling].
Feng YM; Li XQ; Sun BC; Gao XC; Gu L; Niu Y; Hao XS
Zhonghua Zhong Liu Za Zhi; 2006 Dec; 28(12):900-6. PubMed ID: 17533740
[TBL] [Abstract][Full Text] [Related]
9. A multiple kernel support vector machine scheme for feature selection and rule extraction from gene expression data of cancer tissue.
Chen Z; Li J; Wei L
Artif Intell Med; 2007 Oct; 41(2):161-75. PubMed ID: 17851055
[TBL] [Abstract][Full Text] [Related]
10. A machine learning-based approach to prognostic analysis of thoracic transplantations.
Delen D; Oztekin A; Kong ZJ
Artif Intell Med; 2010 May; 49(1):33-42. PubMed ID: 20153956
[TBL] [Abstract][Full Text] [Related]
11. Consensus genes of the literature to predict breast cancer recurrence.
Lauss M; Kriegner A; Vierlinger K; Visne I; Yildiz A; Dilaveroglu E; Noehammer C
Breast Cancer Res Treat; 2008 Jul; 110(2):235-44. PubMed ID: 17899371
[TBL] [Abstract][Full Text] [Related]
12. Multiclass cancer classification by support vector machines with class-wise optimized genes and probability estimates.
Anand A; Suganthan PN
J Theor Biol; 2009 Aug; 259(3):533-40. PubMed ID: 19406131
[TBL] [Abstract][Full Text] [Related]
13. Customized oligonucleotide microarray gene expression-based classification of neuroblastoma patients outperforms current clinical risk stratification.
Oberthuer A; Berthold F; Warnat P; Hero B; Kahlert Y; Spitz R; Ernestus K; König R; Haas S; Eils R; Schwab M; Brors B; Westermann F; Fischer M
J Clin Oncol; 2006 Nov; 24(31):5070-8. PubMed ID: 17075126
[TBL] [Abstract][Full Text] [Related]
14. A new multiple regression approach for the construction of genetic regulatory networks.
Zhang SQ; Ching WK; Tsing NK; Leung HY; Guo D
Artif Intell Med; 2010; 48(2-3):153-60. PubMed ID: 19963359
[TBL] [Abstract][Full Text] [Related]
15. Reliable gene signatures for microarray classification: assessment of stability and performance.
Davis CA; Gerick F; Hintermair V; Friedel CC; Fundel K; Küffner R; Zimmer R
Bioinformatics; 2006 Oct; 22(19):2356-63. PubMed ID: 16882647
[TBL] [Abstract][Full Text] [Related]
16. Clustering of high-dimensional gene expression data with feature filtering methods and diffusion maps.
Xu R; Damelin S; Nadler B; Wunsch DC
Artif Intell Med; 2010; 48(2-3):91-8. PubMed ID: 19962867
[TBL] [Abstract][Full Text] [Related]
17. Prediction of nodal metastasis and prognosis in breast cancer: a neural model.
Naguib RN; Adams AE; Horne CH; Angus B; Smith AF; Sherbet GV; Lennard TW
Anticancer Res; 1997; 17(4A):2735-41. PubMed ID: 9252707
[TBL] [Abstract][Full Text] [Related]
18. Multiple gene expression classifiers from different array platforms predict poor prognosis of colorectal cancer.
Lin YH; Friederichs J; Black MA; Mages J; Rosenberg R; Guilford PJ; Phillips V; Thompson-Fawcett M; Kasabov N; Toro T; Merrie AE; van Rij A; Yoon HS; McCall JL; Siewert JR; Holzmann B; Reeve AE
Clin Cancer Res; 2007 Jan; 13(2 Pt 1):498-507. PubMed ID: 17255271
[TBL] [Abstract][Full Text] [Related]
19. A prognostic test for adenocarcinoma of the lung from gene expression profiling data.
Gordon GJ; Richards WG; Sugarbaker DJ; Jaklitsch MT; Bueno R
Cancer Epidemiol Biomarkers Prev; 2003 Sep; 12(9):905-10. PubMed ID: 14504202
[TBL] [Abstract][Full Text] [Related]
20. Multiple biomarkers in molecular oncology. II. Molecular diagnostics applications in breast cancer management.
Malinowski DP
Expert Rev Mol Diagn; 2007 May; 7(3):269-80. PubMed ID: 17489734
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
