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Estrogen receptor status prediction for breast cancer using artificial neural network.

, , and . ICMLC, page 727-731. IEEE, (2011)

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Exploration of ovarian cancer micro array data focus on gene expression patterns relevant to survival using artificial neural networks., , , , and . IWBBIO, page 116-123. Copicentro Editorial, (2014)Extracting informative genes from unprocessed microarray data.. ICMLC, page 439-443. IEEE, (2010)Pattern recognition of multidimensional PBMC flow cytometry histograms for prostate cancer identification., and . IWBBIO, page 509-516. Copicentro Editorial, (2013)A Systems Biology Approach to Model Gene-Gene Interaction for Childhood Sarcomas., and . BIBE, page 344-347. IEEE, (2018)Exploration of leukemia gene regulatory networks using a systems biology approach., and . BIBM, page 68-73. IEEE Computer Society, (2014)Hybrid genetic algorithm-neural network: Feature extraction for unpreprocessed microarray data., and . Artif. Intell. Medicine, 53 (1): 47-56 (2011)Pathway Analysis of Marker Genes for Leukemia Cancer using Enhanced Genetic Algorithm-Neural Network (enGANN)., , and . BIBE, page 118-121. IEEE, (2018)Optimizing Energy Consumption on Smart Home Task Scheduling using Particle Swarm Optimization., , , and . ANT/EDI40, volume 220 of Procedia Computer Science, page 195-201. Elsevier, (2023)Estrogen receptor status prediction for breast cancer using artificial neural network., , and . ICMLC, page 727-731. IEEE, (2011)MS-labeller: Bioinformatics support for quality assessment on high resolution mass spectrometry sample., , and . BHI, page 964-967. IEEE, (2012)