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» Measuring empirical computational complexity
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BMCBI
2006
239views more  BMCBI 2006»
13 years 11 months ago
Applying dynamic Bayesian networks to perturbed gene expression data
Background: A central goal of molecular biology is to understand the regulatory mechanisms of gene transcription and protein synthesis. Because of their solid basis in statistics,...
Norbert Dojer, Anna Gambin, Andrzej Mizera, Bartek...
BMCBI
2006
138views more  BMCBI 2006»
13 years 11 months ago
Approximation properties of haplotype tagging
Background: Single nucleotide polymorphisms (SNPs) are locations at which the genomic sequences of population members differ. Since these differences are known to follow patterns,...
Staal A. Vinterbo, Stephan Dreiseitl, Lucila Ohno-...
BMCBI
2006
108views more  BMCBI 2006»
13 years 11 months ago
SPIDer: Saccharomyces protein-protein interaction database
Background: Since proteins perform their functions by interacting with one another and with other biomolecules, reconstructing a map of the protein-protein interactions of a cell,...
Xiaomei Wu, Lei Zhu, Jie Guo, Cong Fu, Hongjun Zho...
BMCBI
2006
150views more  BMCBI 2006»
13 years 11 months ago
Cluster analysis of protein array results via similarity of Gene Ontology annotation
Background: With the advent of high-throughput proteomic experiments such as arrays of purified proteins comes the need to analyse sets of proteins as an ensemble, as opposed to t...
Cheryl Wolting, C. Jane McGlade, David Tritchler
CSL
2006
Springer
13 years 11 months ago
Support vector machines for speaker and language recognition
Support vector machines (SVMs) have proven to be a powerful technique for pattern classification. SVMs map inputs into a high dimensional space and then separate classes with a hy...
William M. Campbell, Joseph P. Campbell, Douglas A...