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APIN
2010
108views more  APIN 2010»
13 years 5 months ago
A low variance error boosting algorithm
Abstract. This paper introduces a robust variant of AdaBoost, cwAdaBoost, that uses weight perturbation to reduce variance error, and is particularly effective when dealing with da...
Ching-Wei Wang, Andrew Hunter
EUROGP
2004
Springer
133views Optimization» more  EUROGP 2004»
13 years 11 months ago
Lymphoma Cancer Classification Using Genetic Programming with SNR Features
Lymphoma cancer classification with DNA microarray data is one of important problems in bioinformatics. Many machine learning techniques have been applied to the problem and produc...
Jin-Hyuk Hong, Sung-Bae Cho
BMCBI
2007
156views more  BMCBI 2007»
13 years 5 months ago
Large-scale clustering of CAGE tag expression data
Background: Recent analyses have suggested that many genes possess multiple transcription start sites (TSSs) that are differentially utilized in different tissues and cell lines. ...
Kazuro Shimokawa, Yuko Okamura-Oho, Takio Kurita, ...
SCFBM
2008
107views more  SCFBM 2008»
13 years 5 months ago
Microbial Diagnostic Array Workstation (MDAW): a web server for diagnostic array data storage, sharing and analysis
Background: Microarrays are becoming a very popular tool for microbial detection and diagnostics. Although these diagnostic arrays are much simpler when compared to the traditiona...
Joy Scaria, Aswathy Sreedharan, Yung-Fu Chang
BMCBI
2008
116views more  BMCBI 2008»
13 years 5 months ago
The combination approach of SVM and ECOC for powerful identification and classification of transcription factor
Background: Transcription factors (TFs) are core functional proteins which play important roles in gene expression control, and they are key factors for gene regulation network co...
Guangyong Zheng, Ziliang Qian, Qing Yang, Chaochun...