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» Clustering Genes Using Heterogeneous Data Sources
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CIKM
2010
Springer
15 years 14 days ago
Automatic schema merging using mapping constraints among incomplete sources
Schema merging is the process of consolidating multiple schemas into a unified view. The task becomes particularly challenging when the schemas are highly heterogeneous and autono...
Xiang Li 0002, Christoph Quix, David Kensche, Sand...
BIOINFORMATICS
2004
119views more  BIOINFORMATICS 2004»
15 years 2 months ago
Analysis of variance components in gene expression data
Motivation: A microarray experiment is a multi-step process, and each step is a potential source of variation. There are two major sources of variation: biological variation and t...
James J. Chen, Robert R. Delongchamp, Chen-An Tsai...
BMCBI
2008
114views more  BMCBI 2008»
15 years 2 months ago
Partial mixture model for tight clustering of gene expression time-course
Background: Tight clustering arose recently from a desire to obtain tighter and potentially more informative clusters in gene expression studies. Scattered genes with relatively l...
Yinyin Yuan, Chang-Tsun Li, Roland Wilson
BMCBI
2006
172views more  BMCBI 2006»
15 years 2 months ago
BioWarehouse: a bioinformatics database warehouse toolkit
Background: This article addresses the problem of interoperation of heterogeneous bioinformatics databases. Results: We introduce BioWarehouse, an open source toolkit for construc...
Thomas J. Lee, Yannick Pouliot, Valerie Wagner, Pr...
WWW
2004
ACM
16 years 3 months ago
Web taxonomy integration using support vector machines
We address the problem of integrating objects from a source taxonomy into a master taxonomy. This problem is not only currently pervasive on the web, but also important to the eme...
Dell Zhang, Wee Sun Lee