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» Nonparametric Background Generation
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BMCBI
2006
151views more  BMCBI 2006»
13 years 8 months ago
Modeling Sage data with a truncated gamma-Poisson model
Background: Serial Analysis of Gene Expressions (SAGE) produces gene expression measurements on a discrete scale, due to the finite number of molecules in the sample. This means t...
Helene H. Thygesen, Aeilko H. Zwinderman
BMCBI
2007
178views more  BMCBI 2007»
13 years 8 months ago
SVM clustering
Background: Support Vector Machines (SVMs) provide a powerful method for classification (supervised learning). Use of SVMs for clustering (unsupervised learning) is now being cons...
Stephen Winters-Hilt, Sam Merat
PR
2006
141views more  PR 2006»
13 years 8 months ago
Relaxational metric adaptation and its application to semi-supervised clustering and content-based image retrieval
The performance of many supervised and unsupervised learning algorithms is very sensitive to the choice of an appropriate distance metric. Previous work in metric learning and ada...
Hong Chang, Dit-Yan Yeung, William K. Cheung
BMCBI
2011
13 years 3 months ago
Shape-based peak identification for ChIP-Seq
Background: The identification of binding targets for proteins using ChIP-Seq has gained popularity as an alternative to ChIP-chip. Sequencing can, in principle, eliminate artifac...
Valerie Hower, Steven N. Evans, Lior Pachter
BMCBI
2011
12 years 11 months ago
Linear and non-linear dependencies between copy number aberrations and mRNA expression reveal distinct molecular pathways in Bre
Background: Elucidating the exact relationship between gene copy number and expression would enable identification of regulatory mechanisms of abnormal gene expression and biologi...
Hiroko K. Solvang, Ole Christian Lingjærde, ...