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» Using Multiple Alignments to Improve Gene Prediction
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141
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BMCBI
2006
98views more  BMCBI 2006»
15 years 3 months ago
In search of functional association from time-series microarray data based on the change trend and level of gene expression
Background: The increasing availability of time-series expression data opens up new possibilities to study functional linkages of genes. Present methods used to infer functional l...
Feng He, An-Ping Zeng
BMCBI
2006
126views more  BMCBI 2006»
15 years 3 months ago
A Regression-based K nearest neighbor algorithm for gene function prediction from heterogeneous data
Background: As a variety of functional genomic and proteomic techniques become available, there is an increasing need for functional analysis methodologies that integrate heteroge...
Zizhen Yao, Walter L. Ruzzo
136
Voted
ISMB
1993
15 years 4 months ago
Using Dirichlet Mixture Priors to Derive Hidden Markov Models for Protein Families
A Bayesian method for estimating the amino acid distributions in the states of a hidden Markov model (HMM) for a protein familyor the columns of a multiple alignment of that famil...
Michael Brown, Richard Hughey, Anders Krogh, I. Sa...
132
Voted
ISBRA
2010
Springer
15 years 10 months ago
"Master-Slave" Biological Network Alignment
d abstract), Nicola Ferraro, Luigi Palopoli, Simona Panni and Simona E. Rombo. Uncovering Hidden Phylogenetic Consensus d abstract), Nicholas Pattengale, Krister Swenson and Bernar...
Nicola Ferraro, Luigi Palopoli, Simona Panni, Simo...
ICPP
2009
IEEE
15 years 10 months ago
Improving Resource Availability by Relaxing Network Allocation Constraints on Blue Gene/P
— High-end computing (HEC) systems have passed the petaflop barrier and continue to move toward the next frontier of exascale computing. As companies and research institutes con...
Narayan Desai, Darius Buntinas, Daniel Buettner, P...