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129
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BMCBI
2007
130views more  BMCBI 2007»
15 years 2 months ago
HMM-ModE - Improved classification using profile hidden Markov models by optimising the discrimination threshold and modifying e
Background: Profile Hidden Markov Models (HMM) are statistical representations of protein families derived from patterns of sequence conservation in multiple alignments and have b...
Prashant K. Srivastava, Dhwani K. Desai, Soumyadee...
138
Voted
BMCBI
2008
153views more  BMCBI 2008»
15 years 2 months ago
Estimating the size of the solution space of metabolic networks
Background: Cellular metabolism is one of the most investigated system of biological interactions. While the topological nature of individual reactions and pathways in the network...
Alfredo Braunstein, Roberto Mulet, Andrea Pagnani
122
Voted
BMCBI
2008
170views more  BMCBI 2008»
15 years 2 months ago
A genetic approach for building different alphabets for peptide and protein classification
Background: In this paper, it is proposed an optimization approach for producing reduced alphabets for peptide classification, using a Genetic Algorithm. The classification task i...
Loris Nanni, Alessandra Lumini
100
Voted
ENVSOFT
2008
106views more  ENVSOFT 2008»
15 years 2 months ago
Analysis of self-describing gridded geoscience data with netCDF Operators (NCO)
1 The netCDF Operator (NCO) software facilitates manipulation and analysis of gridded2 geoscience data stored in the self-describing netCDF format. NCO is optimized to efficiently3...
Charles S. Zender
140
Voted
BMCBI
2006
119views more  BMCBI 2006»
15 years 2 months ago
LS-NMF: A modified non-negative matrix factorization algorithm utilizing uncertainty estimates
Background: Non-negative matrix factorisation (NMF), a machine learning algorithm, has been applied to the analysis of microarray data. A key feature of NMF is the ability to iden...
Guoli Wang, Andrew V. Kossenkov, Michael F. Ochs
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