000 | 03331nam a22005175i 4500 | ||
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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 |
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338 |
_aonline resource _bcr _2rdacarrier |
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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 |