GenSo-FDSS: a neural-fuzzy decision support system for pediatric ALL cancer subtype identification using gene expression data

@article{Tung2005GenSoFDSSAN,
  title={GenSo-FDSS: a neural-fuzzy decision support system for pediatric ALL cancer subtype identification using gene expression data},
  author={Whye Loon Tung and Hiok Chai Quek},
  journal={Artificial intelligence in medicine},
  year={2005},
  volume={33 1},
  pages={61-88}
}
OBJECTIVE Acute lymphoblastic leukemia (ALL) is the most common malignancy of childhood, representing nearly one third of all pediatric cancers. Currently, the treatment of pediatric ALL is centered on tailoring the intensity of the therapy applied to a patient's risk of relapse, which is linked to the type of leukemia the patient has. Hence, accurate and correct diagnosis of the various leukemia subtypes becomes an important first step in the treatment process. Recently, gene expression… CONTINUE READING

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