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» Gene set analysis using principal components
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APWEB
2006
Springer
15 years 7 months ago
Generalized Projected Clustering in High-Dimensional Data Streams
Clustering is to identify densely populated subgroups in data, while correlation analysis is to find the dependency between the attributes of the data set. In this paper, we combin...
Ting Wang
BMCBI
2006
151views more  BMCBI 2006»
15 years 3 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
144views more  BMCBI 2007»
15 years 3 months ago
Application of amino acid occurrence for discriminating different folding types of globular proteins
Background: Predicting the three-dimensional structure of a protein from its amino acid sequence is a long-standing goal in computational/molecular biology. The discrimination of ...
Y.-h. Taguchi, M. Michael Gromiha
BMCBI
2010
156views more  BMCBI 2010»
15 years 3 months ago
PeakAnalyzer: Genome-wide annotation of chromatin binding and modification loci
Background: Functional genomic studies involving high-throughput sequencing and tiling array applications, such as ChIP-seq and ChIP-chip, generate large numbers of experimentally...
Mali Salmon-Divon, Heidi Dvinge, Kairi Tammoja, Pa...
ICCS
2009
Springer
15 years 10 months ago
A Holistic Approach for Performance Measurement and Analysis for Petascale Applications
Abstract. Contemporary high-end Terascale and Petascale systems are composed of hundreds of thousands of commodity multi-core processors interconnected with high-speed custom netwo...
Heike Jagode, Jack Dongarra, Sadaf R. Alam, Jeffre...