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» Protein secondary structure prediction using neural networks
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BIOINFORMATICS
2011
13 years 2 months ago
Integrative network alignment reveals large regions of global network similarity in yeast and human
Motivation: High-throughput methods for detecting molecular interactions have produced large sets of biological network data with much more yet to come. Analogous to sequence alig...
Oleksii Kuchaiev, Natasa Przulj
BMCBI
2008
220views more  BMCBI 2008»
13 years 8 months ago
Gene prediction in metagenomic fragments: A large scale machine learning approach
Background: Metagenomics is an approach to the characterization of microbial genomes via the direct isolation of genomic sequences from the environment without prior cultivation. ...
Katharina J. Hoff, Maike Tech, Thomas Lingner, Rol...
CDC
2010
IEEE
196views Control Systems» more  CDC 2010»
13 years 2 months ago
Convergence and convergence rate of stochastic gradient search in the case of multiple and non-isolated extrema
The asymptotic behavior of stochastic gradient algorithms is studied. Relying on some results of differential geometry (Lojasiewicz gradient inequality), the almost sure pointconve...
Vladislav B. Tadic
IJCNN
2007
IEEE
14 years 2 months ago
An Associative Memory for Association Rule Mining
— Association Rule Mining is a thoroughly studied problem in Data Mining. Its solution has been aimed for by approaches based on different strategies involving, for instance, the...
Vicente O. Baez-Monroy, Simon O'Keefe
BMCBI
2010
106views more  BMCBI 2010»
13 years 8 months ago
Predicting MHC class I epitopes in large datasets
Background: Experimental screening of large sets of peptides with respect to their MHC binding capabilities is still very demanding due to the large number of possible peptide seq...
Kirsten Roomp, Iris Antes, Thomas Lengauer