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_a10.1007/978-1-62703-107-3 _2doi |
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_aQH324.2 _b2013 EB |
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_aData Mining for Systems Biology : _bMethods and Protocols _cedited by Hiroshi Mamitsuka, Charles DeLisi, Minoru Kanehisa |
| 250 | _a1st edition 2013 | ||
| 264 | 1 |
_aTotowa, NJ _bHumana Press _c2013 |
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| 300 |
_a1 recurso en línea (XII, 279 páginas) _b77 ilustraciones, 18 ilustraciones a color |
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| 336 |
_atexto _btxt _2rdacontent |
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| 337 |
_aelectrónico _bc _2rdamedia |
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| 338 |
_arecurso electrónico _bcr _2rdacarrier |
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| 347 |
_aarchivo de texto _bPDF |
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_aMethods in Molecular Biology _x1940-6029 _v939 |
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| 520 | _aThe post-genomic revolution is witnessing the generation of petabytes of data annually, with deep implications ranging across evolutionary theory, developmental biology, agriculture, and disease processes. Data Mining for Systems Biology: Methods and Protocols, surveys and demonstrates the science and technology of converting an unprecedented data deluge to new knowledge and biological insight. The volume is organized around two overlapping themes, network inference and functional inference. Written in the highly successful Methods in Molecular Biology™ series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible protocols, and key tips on troubleshooting and avoiding known pitfalls. Authoritative and practical, Data Mining for Systems Biology: Methods and Protocols also seeks to aid researchers in the further development of databases, mining and visualization systems that are central to the paradigm altering discoveries being made with increasing frequency. | ||
| 988 | _aSpringer_Protocols_2013 | ||
| 650 | 7 |
_2embne _9160489 _aBioinformática _vManuales de laboratorio |
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| 776 | 0 | 8 |
_iPrinted edition: _z9781627031066 |
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_iPrinted edition: _z9781627031080 |
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_iPrinted edition: _z9781493959129 |
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_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-1-62703-107-3 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid) |
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_b01/2024 _dz _eb _zSI |
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