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| 008 | 230912s2023 sz | o |||| 0|eng d | ||
| 020 | _a9783031365669 | ||
| 024 | 7 |
_a10.1007/978-3-031-36566-9 _2doi |
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| 040 |
_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC |
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| 050 | 4 |
_aQH324.2 _b2023 EB |
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| 100 | 1 |
_aLecca, Paola _d1973- _eautor _0(orcid)0000-0002-7224-136X _1https://orcid.org/0000-0002-7224-136X _4aut _4http://id.loc.gov/vocabulary/relators/aut _9689786 |
|
| 245 | 1 | 0 |
_aIntroduction to Mathematics for Computational Biology _cby Paola Lecca, Bruno Carpentieri |
| 250 | _a1st ed. 2023 | ||
| 264 | 1 |
_aCham _bSpringer International Publishing _c2023 |
|
| 300 | _a1 recurso en línea | ||
| 336 |
_atexto _btxt _2rdacontent |
||
| 337 |
_aelectrónico _bc _2rdamedia |
||
| 338 |
_arecurso electrónico _bcr _2rdacarrier |
||
| 490 | 0 |
_aTechniques in Life Science and Biomedicine for the Non-Expert _x2367-1122 |
|
| 505 | 0 | _a1. Introduction to graph theory -- 2. Biological networks -- 3. Network inference for drug discovery- 4. Introduction to differential and integral calculus -- 5. Modelling chemical reactions -- 6. Reaction-diffusion systems -- 7. Linear algebra background -- 8. Regression -- 9. Cardiac electrophysiology -- . | |
| 520 | _aThis introductory guide provides a thorough explanation of the mathematics and algorithms used in standard data analysis techniques within systems biology, biochemistry, and biophysics. Each part of the book covers the mathematical background and practical applications of a given technique. Readers will gain an understanding of the mathematical and algorithmic steps needed to use these software tools appropriately and effectively, as well how to assess their specific circumstance and choose the optimal method and technology. Ideal for students planning for a career in research, early-career researchers, and established scientists undertaking interdiscplinary research. . | ||
| 988 | _aSpringer_BiomedLife_2023 | ||
| 650 | 7 |
_2embne _9160489 _aBioinformática |
|
| 700 | 1 |
_9689787 _aCarpentieri, Bruno _eautor |
|
| 856 | 4 | 0 |
_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-031-36566-9 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid) |
| 942 |
_2lcc _cLE |
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| 998 |
_b03/2024 _dz _eb _zSI |
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