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BMCBI
2010
143views more  BMCBI 2010»
15 years 6 months ago
Learning gene regulatory networks from only positive and unlabeled data
Background: Recently, supervised learning methods have been exploited to reconstruct gene regulatory networks from gene expression data. The reconstruction of a network is modeled...
Luigi Cerulo, Charles Elkan, Michele Ceccarelli
BMCBI
2010
84views more  BMCBI 2010»
15 years 6 months ago
Testing the additional predictive value of high-dimensional molecular data
Background: While high-dimensional molecular data such as microarray gene expression data have been used for disease outcome prediction or diagnosis purposes for about ten years i...
Anne-Laure Boulesteix, Torsten Hothorn
BMCBI
2010
126views more  BMCBI 2010»
15 years 6 months ago
A boosting method for maximizing the partial area under the ROC curve
Background: The receiver operating characteristic (ROC) curve is a fundamental tool to assess the discriminant performance for not only a single marker but also a score function c...
Osamu Komori, Shinto Eguchi
BMCBI
2008
142views more  BMCBI 2008»
15 years 6 months ago
Genetic weighted k-means algorithm for clustering large-scale gene expression data
Background: The traditional (unweighted) k-means is one of the most popular clustering methods for analyzing gene expression data. However, it suffers three major shortcomings. It...
Fang-Xiang Wu
171
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BMCBI
2010
100views more  BMCBI 2010»
15 years 6 months ago
Using genomic signatures for HIV-1 sub-typing
Background: Human Immunodeficiency Virus type 1 (HIV-1), the causative agent of Acquired Immune Deficiency Syndrome (AIDS), exhibits very high genetic diversity with different var...
Aridaman Pandit, Somdatta Sinha
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