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» A DIAMOND Method for Classifying Biological Data
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BMCBI
2008
108views more  BMCBI 2008»
13 years 7 months ago
An analysis of the positional distribution of DNA motifs in promoter regions and its biological relevance
Background: Motif finding algorithms have developed in their ability to use computationally efficient methods to detect patterns in biological sequences. However the posterior cla...
Ana C. Casimiro, Susana Vinga, Ana T. Freitas, Arl...
BMCBI
2004
104views more  BMCBI 2004»
13 years 7 months ago
Discriminative topological features reveal biological network mechanisms
Background: Recent genomic and bioinformatic advances have motivated the development of numerous network models intending to describe graphs of biological, technological, and soci...
Manuel Middendorf, Etay Ziv, Carter Adams, Jen Hom...
ISVC
2010
Springer
13 years 5 months ago
Plant Texture Classification Using Gabor Co-occurrences
Leaves provide an important source of data for research in comparative plant biology. This paper presents a method for comparing and classifying plants based on leaf texture. Joint...
James S. Cope, Paolo Remagnino, Sarah Barman, Paul...
BMCBI
2004
205views more  BMCBI 2004»
13 years 7 months ago
A combinational feature selection and ensemble neural network method for classification of gene expression data
Background: Microarray experiments are becoming a powerful tool for clinical diagnosis, as they have the potential to discover gene expression patterns that are characteristic for...
Bing Liu, Qinghua Cui, Tianzi Jiang, Songde Ma
ICML
2010
IEEE
13 years 8 months ago
Active Learning for Networked Data
We introduce a novel active learning algorithm for classification of network data. In this setting, training instances are connected by a set of links to form a network, the label...
Mustafa Bilgic, Lilyana Mihalkova, Lise Getoor