Lymphoma Prognostication from Expression Profiling Using a Combination Method of Boosting and Projective Adaptive Resonance Theory
- 1 January 2006
- journal article
- Published by Society of Chemical Engineers, Japan in JOURNAL OF CHEMICAL ENGINEERING OF JAPAN
- Vol. 39 (7) , 767-771
- https://doi.org/10.1252/jcej.39.767
Abstract
No abstract availableThis publication has 16 references indexed in Scilit:
- An Identity Crisis for fps/fes: Oncogene or Tumor Suppressor?Cancer Research, 2005
- BagBoosting for tumor classification with gene expression dataBioinformatics, 2004
- Comparative analysis of genes regulated by PML/RARα and PLZF/RARα in response to retinoic acid using oligonucleotide arraysBlood, 2003
- Fuzzy Neural Network Applied to Gene Expression Profiling for Predicting the Prognosis of Diffuse Large B‐cell LymphomaJapanese Journal of Cancer Research, 2002
- Gene Selection for Cancer Classification using Support Vector MachinesMachine Learning, 2002
- Fuzzy Neural Network-Based Prediction of the Motif for MHC Class II Binding Peptides.Journal of Bioscience and Bioengineering, 2001
- Additive logistic regression: a statistical view of boosting (With discussion and a rejoinder by the authors)The Annals of Statistics, 2000
- Molecular Classification of Cancer: Class Discovery and Class Prediction by Gene Expression MonitoringScience, 1999
- A Decision-Theoretic Generalization of On-Line Learning and an Application to BoostingJournal of Computer and System Sciences, 1997
- Bagging predictorsMachine Learning, 1996