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_aApplication of Computational Intelligence to Biology _cedited by Ravi Bhramaramba, Akula Chandra Sekhar |
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_aSingapore _bSpringer _c2016 |
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| 300 | _a1 recurso en línea (IX, 102 p.) 60 il., 42 il. col. | ||
| 336 |
_aTexto (visual) _btxt _2rdacontent |
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_aonline resource _bcr _2rdacarrier |
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_aSpringerBriefs in Applied Sciences and Technology _x2191-530X |
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| 505 | 0 | _aEnhancing the performance of Multi-parameter Patient Monitors by Homogeneous Kernel Maps -- Augmenting the performance of Multi-patient Parameter Monitoring system -- An Efficient Classification Model based on Ensemble of Fuzzy-Rough Classifier for Analysis of Medical Data -- A Comparative Study of Various Minutiae Extraction Methods for Fingerprint Recognition Based on Score Level Fusion -- Hybrid Model for Analysis of Abnormalities in Diabetic Cardiomyopathy -- Computational Screening of DrugBank DataBase for Novel Cell Cycle Inhibitors -- Pathway analysis of highly conserved Mitogen Activated Protein Kinases (MAPKs) -- Identification of drug targets from integrated database of diabetes mellitus Genes using Protein-Protein Interactions -- Distributed Data Mining for modeling and prediction of skin condiction in Cosmetic Industry - A Rough Set Theory Approach. | |
| 520 | _aThis book is a contribution of translational and allied research to the proceedings of the International Conference on Computational Intelligence and Soft Computing. It explains how various computational intelligence techniques can be applied to investigate various biological problems. It is a good read for Research Scholars, Engineers, Medical Doctors and Bioinformatics researchers. | ||
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_aBhramaramba, Ravi _eeditor literario _0Local _9100792 |
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