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» Classifier Selection Based on Data Complexity Measures
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CSB
2005
IEEE
110views Bioinformatics» more  CSB 2005»
15 years 3 months ago
A Topological Measurement for Weighted Protein Interaction Network
High-throughput methods for detecting protein-protein interactions (PPI) have given researchers an initial global picture of protein interactions on a genomic scale. The usefulnes...
Pengjun Pei, Aidong Zhang
BMCBI
2007
173views more  BMCBI 2007»
14 years 10 months ago
Recursive Cluster Elimination (RCE) for classification and feature selection from gene expression data
Background: Classification studies using gene expression datasets are usually based on small numbers of samples and tens of thousands of genes. The selection of those genes that a...
Malik Yousef, Segun Jung, Louise C. Showe, Michael...
SAC
2004
ACM
15 years 3 months ago
Interval and dynamic time warping-based decision trees
This work presents decision trees adequate for the classification of series data. There are several methods for this task, but most of them focus on accuracy. One of the requirem...
Juan José Rodríguez, Carlos J. Alons...
ICDE
2008
IEEE
147views Database» more  ICDE 2008»
15 years 11 months ago
Fast Indexes and Algorithms for Set Similarity Selection Queries
Data collections often have inconsistencies that arise due to a variety of reasons, and it is desirable to be able to identify and resolve them efficiently. Set similarity queries ...
Marios Hadjieleftheriou, Amit Chandel, Nick Koudas...
BMCBI
2006
198views more  BMCBI 2006»
14 years 10 months ago
Gene selection and classification of microarray data using random forest
Background: Selection of relevant genes for sample classification is a common task in most gene expression studies, where researchers try to identify the smallest possible set of ...
Ramón Díaz-Uriarte, Sara Alvarez de ...