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» Clustering of diverse genomic data using information fusion
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BMCBI
2006
183views more  BMCBI 2006»
14 years 9 months ago
Mining gene expression data by interpreting principal components
Background: There are many methods for analyzing microarray data that group together genes having similar patterns of expression over all conditions tested. However, in many insta...
Joseph C. Roden, Brandon W. King, Diane Trout, Ali...
ICDE
2010
IEEE
220views Database» more  ICDE 2010»
14 years 7 months ago
Profiling linked open data with ProLOD
Linked open data (LOD), as provided by a quickly growing number of sources constitutes a wealth of easily accessible information. However, this data is not easy to understand. It i...
Christoph Böhm, Felix Naumann, Ziawasch Abedj...
CSB
2004
IEEE
15 years 1 months ago
Navigating through the Biological Maze
Advances in genome science have created a surge of data. These data critical to scientific discovery are made available in thousands of heterogeneous public resources. Each of the...
Zoé Lacroix, Kaushal Parekh, Louiqa Raschid...
CIKM
2003
Springer
15 years 2 months ago
HyperThesis: the gRNA spell on the curse of bioinformatics applications integration
In this paper, we describe a graphical workflow management system called HyperThesis to address the challenges of integrating bioinformatics applications. HyperThesis is an integ...
Sourav S. Bhowmick, Vivek Vedagiri, Amey V. Laud
IDA
1998
Springer
14 years 9 months ago
Self-Organized-Expert Modular Network for Classification of Spatiotemporal Sequences
We investigate a form of modular neural network for classification with (a) pre-separated input vectors entering its specialist (expert) networks, (b) specialist networks which ar...
Sylvian R. Ray, William H. Hsu