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» Classification of microarray data using gene networks
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BMCBI
2008
108views more  BMCBI 2008»
15 years 3 months ago
Empirical methods for controlling false positives and estimating confidence in ChIP-Seq peaks
Background: High throughput signature sequencing holds many promises, one of which is the ready identification of in vivo transcription factor binding sites, histone modifications...
David A. Nix, Samir J. Courdy, Kenneth M. Boucher
ALMOB
2007
129views more  ALMOB 2007»
15 years 3 months ago
Consistency of the Neighbor-Net Algorithm
Background: Neighbor-Net is a novel method for phylogenetic analysis that is currently being widely used in areas such as virology, bacteriology, and plant evolution. Given an inp...
David Bryant, Vincent Moulton, Andreas Spillner
ICDAR
2003
IEEE
15 years 8 months ago
Best Practices for Convolutional Neural Networks Applied to Visual Document Analysis
Neural networks are a powerful technology for classification of visual inputs arising from documents. However, there is a confusing plethora of different neural network methods th...
Patrice Simard, David Steinkraus, John C. Platt
SETN
2004
Springer
15 years 8 months ago
A Meta-classifier Approach for Medical Diagnosis
Abstract. Single classifiers, such as Neural Networks, Support Vector Machines, Decision Trees and other, can be used to perform classification of data for relatively simple proble...
George L. Tsirogiannis, Dimitrios S. Frossyniotis,...
ECRIME
2007
15 years 6 months ago
A comparison of machine learning techniques for phishing detection
There are many applications available for phishing detection. However, unlike predicting spam, there are only few studies that compare machine learning techniques in predicting ph...
Saeed Abu-Nimeh, Dario Nappa, Xinlei Wang, Suku Na...