Multi-domain gating network for classification of cancer cells using gene expression data

Proceedings of the International Joint Conference on Neural Networks

Volumn 1, Issue , 2002, Pages 286-289

  Su, Min ^a   Basu, Mitra ^a   Toure, Amadou ^a  

^a CITY UNIVERSITY OF NEW YORK   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CELLS; DISEASES; GENES; MEDICAL COMPUTING; ONCOLOGY; PATTERN RECOGNITION;

ACUTE LYMPHOBLASTIC LEUKEMIA; ACUTE MYELOID LEUKEMIA; CANCER CELLS; GENE EXPRESSION; MODULAR NEURAL NETWORKS; MONOLITHIC NEURAL NETWORKS; MULTIDOMAIN GATING NETWORK;

NEURAL NETWORKS;

EID: 0036072868     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (7)

1. Divide-and conquer learning and modular perceptron networks
2. Molecular classification of cancer: Class discovery and class prediction by gene expression monitoring
3. Method combination for document filtering
4. Adaptive mixtures of local experts
5. Novel techniques for analysis of gene expression data for cancer classification
6. Modular network for image deblurring
7. Application of neural network to gene expression data for cancer classification