000 03331nam a22005175i 4500
001 978-3-540-76803-6
003 DE-He213
005 20170628034817.0
007 cr nn 008mamaa
008 100301s2008 gw | s |||| 0|eng d
020 _a9783540768036
_9978-3-540-76803-6
024 7 _a10.1007/978-3-540-76803-6
_2doi
050 4 _aTA329-348
050 4 _aTA640-643
072 7 _aTBJ
_2bicssc
072 7 _aMAT003000
_2bisacsh
082 0 4 _a519
_223
100 1 _aKelemen, Arpad.
_eeditor.
245 1 0 _aComputational Intelligence in Bioinformatics
_h[electronic resource] /
_cedited by Arpad Kelemen, Ajith Abraham, Yuehui Chen.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg,
_c2008.
300 _aXVI, 326 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aStudies in Computational Intelligence,
_x1860-949X ;
_v94
505 0 _aComputational Intelligence Algorithms and DNA Microarrays -- Inferring Gene Regulatory Networks from Expression Data -- Belief Networks for Bioinformatics -- Swarm Intelligence Algorithms in Bioinformatics -- Time Course Gene Expression Classification with Time Lagged Recurrent Neural Network -- Tree-Based Algorithms for Protein Classification -- Covariance-Model-Based RNA Gene Finding: Using Dynamic Programming versus Evolutionary Computing -- Fuzzy Classification for Gene Expression Data Analysis -- Towards the Enhancement of Gene Selection Performance -- Saccharomyces pombe and Saccharomyces cerevisiae Gene Regulatory Network Inference Using the Fuzzy Logic Network -- Multivariate Regression Applied to Gene Expression Dynamics -- The Amine System Project: Systems Biology in Practice -- DNA Encoding Methods in the Field of DNA Computing.
520 _aBioinformatics involve the creation and advancement of algorithms using techniques including computational intelligence, applied mathematics and statistics, informatics, and biochemistry to solve biological problems usually on the molecular level. Major research efforts in the field include sequence analysis, gene finding, genome annotation, protein structure alignment analysis and prediction, prediction of gene expression, protein-protein docking/interactions, and the modeling of evolution. This book deals with the application of computational intelligence in bioinformatics. Addressing the various issues of bioinformatics using different computational intelligence approaches is the novelty of this edited volume.
650 0 _aEngineering.
650 0 _aArtificial intelligence.
650 0 _aBioinformatics.
650 0 _aEngineering mathematics.
650 1 4 _aEngineering.
650 2 4 _aAppl.Mathematics/Computational Methods of Engineering.
650 2 4 _aArtificial Intelligence (incl. Robotics).
650 2 4 _aBioinformatics.
700 1 _aAbraham, Ajith.
_eeditor.
700 1 _aChen, Yuehui.
_eeditor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783540768029
830 0 _aStudies in Computational Intelligence,
_x1860-949X ;
_v94
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-540-76803-6
912 _aZDB-2-ENG
999 _c21619
_d21619