000 | 03371nam a22006135i 4500 | ||
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001 | 978-3-540-32361-7 | ||
003 | DE-He213 | ||
005 | 20161121231021.0 | ||
007 | cr nn 008mamaa | ||
008 | 100805s2005 gw | s |||| 0|eng d | ||
020 |
_a9783540323617 _9978-3-540-32361-7 |
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024 | 7 |
_a10.1007/b13301 _2doi |
|
050 | 4 | _aQA75.5-76.95 | |
072 | 7 |
_aUY _2bicssc |
|
072 | 7 |
_aUYA _2bicssc |
|
072 | 7 |
_aCOM014000 _2bisacsh |
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072 | 7 |
_aCOM031000 _2bisacsh |
|
082 | 0 | 4 |
_a004.0151 _223 |
245 | 1 | 0 |
_aBioinformatics Using Computational Intelligence Paradigms _h[electronic resource] / _cedited by Udo Seiffert, Lakhmi C. Jain, Patric Schweizer. |
264 | 1 |
_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg, _c2005. |
|
300 |
_aVII, 211 p. _bonline resource. |
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336 |
_atext _btxt _2rdacontent |
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337 |
_acomputer _bc _2rdamedia |
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338 |
_aonline resource _bcr _2rdacarrier |
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347 |
_atext file _bPDF _2rda |
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490 | 1 |
_aStudies in Fuzziness and Soft Computing, _x1434-9922 ; _v176 |
|
505 | 0 | _aMedical Bioinformatics: Detecting Molecular Diseases with Case-Based Reasoning -- Prototype Based Recognition of Splice Sites -- Contact Based Image Compression in Biomedical High-Throughput Screening Using Artificial Neural Networks -- Discriminative Clustering of Yeast Stress Response -- A Dynamic Model of Gene Regulatory Networks Based on Inertia Principle -- Class Prediction with Microarray Datasets -- Random Voronoi Ensembles for Gene Selection in DNA Microarray Data -- Cancer Classification with Microarray Data Using Support Vector Machines -- Artificial Neural Networks for Reducing the Dimensionality of Gene Expression Data. | |
520 | _aBioinformatics as well as Computational Intelligence are undoubtedly remarkably fast growing fields of research and real-world applications with enormous potential for current and future developments. "Bioinformatics using Computational Intelligence Paradigms" contains recent theoretical approaches and guiding applications of biologically inspired information processing systems(Computational Intelligence) against the background of bioinformatics. This carefully edited monograph combines the latest results of Bioinformatics and Computational Intelligence and offers a promising cross-fertilisation and interdisciplinary work between these growing fields. | ||
650 | 0 | _aComputer science. | |
650 | 0 | _aBiotechnology. | |
650 | 0 | _aComputers. | |
650 | 0 | _aArtificial intelligence. | |
650 | 0 | _aBioinformatics. | |
650 | 0 | _aApplied mathematics. | |
650 | 0 | _aEngineering mathematics. | |
650 | 0 | _aComputational intelligence. | |
650 | 1 | 4 | _aComputer Science. |
650 | 2 | 4 | _aTheory of Computation. |
650 | 2 | 4 | _aComputational Intelligence. |
650 | 2 | 4 | _aAppl.Mathematics/Computational Methods of Engineering. |
650 | 2 | 4 | _aBioinformatics. |
650 | 2 | 4 | _aArtificial Intelligence (incl. Robotics). |
650 | 2 | 4 | _aBiotechnology. |
700 | 1 |
_aSeiffert, Udo. _eeditor. |
|
700 | 1 |
_aJain, Lakhmi C. _eeditor. |
|
700 | 1 |
_aSchweizer, Patric. _eeditor. |
|
710 | 2 | _aSpringerLink (Online service) | |
773 | 0 | _tSpringer eBooks | |
776 | 0 | 8 |
_iPrinted edition: _z9783540229018 |
830 | 0 |
_aStudies in Fuzziness and Soft Computing, _x1434-9922 ; _v176 |
|
856 | 4 | 0 | _uhttp://dx.doi.org/10.1007/b13301 |
912 | _aZDB-2-ENG | ||
950 | _aEngineering (Springer-11647) | ||
999 |
_c507346 _d507346 |