Strong feature sets from small samples

Journal of Computational Biology

Volumn 9, Issue 1, 2002, Pages 127-146

  Kim, Seungchan ^a   Dougherty, Edward R ^a   Barrera, Junior ^b   Chen, Yidong ^c   Bittner, Michael L ^c   Trent, Jeffrey M ^c  

^a TEXAS A AND M UNIVERSITY   (United States)

^b UNIVERSITY OF SÃO PAULO   (Brazil)

^c NATIONAL HUMAN GENOME RESEARCH INSTITUTE   (United States)

Author keywords

Cancer; Classification; Gene expression; Perceptron

Indexed keywords

ACCURACY; ANALYTICAL ERROR; ARTICLE; BREAST CANCER; CANCER CLASSIFICATION; CANCER SUSCEPTIBILITY; DNA MICROARRAY; GENE EXPRESSION; GENETIC PREDISPOSITION; GEOMETRY; MATHEMATICAL COMPUTING; ONCOGENE; PRIORITY JOURNAL; PROBABILITY;

BREAST NEOPLASMS; COMPUTATIONAL BIOLOGY; FEMALE; GENE EXPRESSION PROFILING; GENES, BRCA1; GENES, BRCA2; GENOME, HUMAN; HUMANS; OLIGONUCLEOTIDE ARRAY SEQUENCE ANALYSIS; SAMPLE SIZE;

EID: 0036211375     PISSN: 10665277     EISSN: None     Source Type: Journal    
DOI: 10.1089/10665270252833226     Document Type: Article

References (41)

1. Modified controlled random search algorithms
2. The lymphochip: A specialized cDNA microarray for the genomic-scale analysis of gene expression in normal and malignant lymphocytes
3. Broad patterns of gene expression revealed by clustering analysis of tumor and normal colon tissues probed by oligonucleotide arrays
4. The molecular chaperone alphaA-crystallin enhances lens epithelial cell growth and resistance to UVA stress
5. Cyclin d1 protein expression and function in human breast cancer
6. On the capabilities of multilayer perceptrons
7. Tissue classification with gene expression profiles
8. Molecular classification of cutaneous malignant melanoma by gene expression profiling
9. Heuristic-biased stochastic scheduling
10. Cytokeratin expression in breast cancer: Phenotypic changes associated with disease progression
11. Approximation by superposition of sigmoidal functions
12. Exploring metabolic and genetic control of gene expression on a genomic scale
13. Small sample issues for microarray-based classification
14. Expression profiling using cdna microarrays
15. On the approximate realization of continuous mappings by neural networks
16. Molecular classification of cancer: Class discovery and class prediction by gene expression monitoring
17. A novel class of GABAA receptor subunit in tissues of the reproductive system
18. Gene expression profiles in hereditary breast cancer
19. Antitumor effects of l6, an IgG2a antibody that reacts with most human carcinomas
20. Quantum computing and phase transitions in combinatorial search
21. Multilayer feedforward networks are universal approximators
22. Genetic algorithms for constraint satisfaction problems
23. Gene expression profiling of alveolar rhabdomyosarcoma with cDNA microarrays
24. Classification and diagnostic prediction of cancers using gene expression profiling and artificial neural networks
25. Heuristic random optimization
26. Cloning and expression of the tumor-associated antigen 16
27. Global optimization algorithm using adaptive random search
28. Tob, a novel protein that interacts with p185erbB2, is associated with anti-proliferative activity
29. Controlled random search technique incorporating the simulated annealing concept for solving integer and mixed integer global optimization problems
30. Molecular portraits of human breast tumours
31. Global optimization by controlled random search
32. Efficiency on the random search method
33. Quantitative monitoring of gene expression patterns with a complementary DNA microarray
34. Minimization by random search techniques
35. Genetic algorithms: A survey
36. Effectiveness of random search
37. On the uniform convergence of relative frequencies of events to their probabilities
38. Mammary hyperplasia and carcinoma in MMTV-cyclin d1 transgenic mice