A New Reliable Cancer Diagnosis Method Using Boosted Fuzzy Classifier with a SWEEP Operator Method

This publication has 31 references indexed in Scilit:

• Gene selection from microarray data for cancer classification—a machine learning approach
  Computational Biology and Chemistry, 2005
• Protein classification based on text document classification techniques
  Proteins-Structure Function and Bioinformatics, 2005
• Construction of robust prognostic predictors by using projective adaptive resonance theory as a gene filtering method
  Bioinformatics, 2004
• SVM based method for predicting HLA-DRB1*0401 binding peptides in an antigen sequence
  Bioinformatics, 2004
• Prognostic Predictor with Multiple Fuzzy Neural Models Using Expression Profiles from DNA Microarray for Metastases of Breast Cancer
  Journal of Bioscience and Bioengineering, 2004
• Fuzzy Neural Network Applied to Gene Expression Profiling for Predicting the Prognosis of Diffuse Large B‐cell Lymphoma
  Japanese Journal of Cancer Research, 2002
• Making sense of gene-expression data
  Trends in Biotechnology, 1999
• Model Construction for Quality of Beer and Brewing Process using FNN.
  KAGAKU KOGAKU RONBUNSHU, 1999
• A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting
  Journal of Computer and System Sciences, 1997
• On fuzzy modeling using fuzzy neural networks with the back-propagation algorithm
  IEEE Transactions on Neural Networks, 1992