Computational biology.
概要
| 作品: | 103 作品在 51 項出版品 51 種語言 | |
|---|---|---|
書目資訊
Bioinformatics, biocomputing and Perl : = an introduction to bioinformatics computing skills and practice /
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Algorithms on strings, trees, and sequences : = computer science and computational biology /
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Parallel computing for bioinformatics and computational biology : = models, enabling technologies, and case studies /
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Computational intelligence in biomedicine and bioinformatics = current trends and applications /
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Transactions on computational systems biology XII = special issue on modeling methodologies /
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Scalable pattern recognition algorithms = applications in computational biology and bioinformatics /
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Analysis of biological processes = verbal description, schemes, and mathematical models /
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Biomedical research and integrated biobanking = an innovative paradigm for heterogeneous data management /
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Pattern recognition in computational molecular biology : = techniques and approaches /
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Statistical modelling and machine learning principles for bioinformatics techniques, tools, and applications
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Complex systems and computational biology approaches to acute inflammation = a framework for model-based precision medicine /
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Computational biology and machine learning for metabolic engineering and synthetic biology /
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Interdisciplinary research and applications in bioinformatics, computational biology and environmental sciences
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Systemic approaches in bioinformatics and computational systems biology = recent advances /
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High-dimensional single cell analysis = mass cytometry, multi-parametric flow cytometry and bioinformatic techniques /
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Fundamentals of bioinformatics and computational biology = methods and exercises in MATLAB /
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Emerging trends in computational biology, bioinformatics, and systems biology = algorithms and software tools /
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Concise guide to computing foundations = core concepts and select scientific applications /
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Stochastic processes, multiscale modeling, and numerical methods for computational cellular biology
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In silico drug discovery and design : = theory, methods, challenges, and applications /
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Recent advances in biological network analysis = comparative network analysis and network module detection /
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R crash course for biologists : = an introduction to R for bioinformatics and biostatistics /
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