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» Informative sampling for large unbalanced data sets
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BMCBI
2006
142views more  BMCBI 2006»
15 years 3 months ago
Improving the Performance of SVM-RFE to Select Genes in Microarray Data
Background: Recursive Feature Elimination is a common and well-studied method for reducing the number of attributes used for further analysis or development of prediction models. ...
Yuanyuan Ding, Dawn Wilkins
IROS
2009
IEEE
111views Robotics» more  IROS 2009»
15 years 10 months ago
An exploration method for general robotic systems equipped with multiple sensors
Abstract— This paper presents a novel method for sensorbased exploration of unknown environments by a general robotic system equipped with multiple sensors. The method is based o...
Luigi Freda, Giuseppe Oriolo, Francesco Vecchioli
120
Voted
BMCBI
2007
116views more  BMCBI 2007»
15 years 3 months ago
Ranked Adjusted Rand: integrating distance and partition information in a measure of clustering agreement
Background: Biological information is commonly used to cluster or classify entities of interest such as genes, conditions, species or samples. However, different sources of data c...
Francisco R. Pinto, João A. Carriço,...
141
Voted
BMCBI
2006
120views more  BMCBI 2006»
15 years 3 months ago
An improved distance measure between the expression profiles linking co-expression and co-regulation in mouse
Background: Many statistical algorithms combine microarray expression data and genome sequence data to identify transcription factor binding motifs in the low eukaryotic genomes. ...
Ryung S. Kim, Hongkai Ji, Wing Hung Wong
134
Voted
BMCBI
2006
97views more  BMCBI 2006»
15 years 3 months ago
Goulphar: rapid access and expertise for standard two-color microarray normalization methods
Background: Raw data normalization is a critical step in microarray data analysis because it directly affects data interpretation. Most of the normalization methods currently used...
Sophie Lemoine, Florence Combes, Nicolas Servant, ...