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» Evaluation of clustering algorithms for gene expression data
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BIRD
2008
Springer
110views Bioinformatics» more  BIRD 2008»
15 years 8 months ago
SVM-Based Local Search for Gene Selection and Classification of Microarray Data
Abstract. This paper presents a SVM-based local search (SVM-LS) approach to the problem of gene selection and classification of microarray data. The proposed approach is highlighte...
Jose Crispin Hernandez Hernandez, Béatrice ...
APIN
2010
108views more  APIN 2010»
15 years 6 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
CSB
2005
IEEE
189views Bioinformatics» more  CSB 2005»
16 years 8 days ago
Learning Yeast Gene Functions from Heterogeneous Sources of Data Using Hybrid Weighted Bayesian Networks
We developed a machine learning system for determining gene functions from heterogeneous sources of data sets using a Weighted Naive Bayesian Network (WNB). The knowledge of gene ...
Xutao Deng, Huimin Geng, Hesham H. Ali
GIR
2006
ACM
16 years 18 days ago
A Location Data Annotation System for Personal Photograph Collections: Evaluation of a Searching and Browsing Tool
Abstract Categories and Subject Descriptors: H.3.3 Information Search and Retrieval: Clustering and Search Process. General Terms: Algorithms, Design, Human Factors. Keywords. Epis...
Chufeng Chen, Michael P. Oakes, John Tait
BMCBI
2006
119views more  BMCBI 2006»
15 years 6 months ago
Evaluation of microarray data normalization procedures using spike-in experiments
Background: Recently, a large number of methods for the analysis of microarray data have been proposed but there are few comparisons of their relative performances. By using so-ca...
Patrik Rydén, Henrik Andersson, Mattias Lan...