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| 008 | 120913s2013 xxu| s |||| 0|eng d | ||
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_aQH438.4.S73 _bX874 2013 EB |
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| 082 | 0 | 4 | _a581.35 |
| 100 | 1 |
_aXu, Shizhong _c(Geneticist) _0Local _984261 |
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| 245 | 1 | 0 |
_aPrinciples of Statistical Genomics _cby Shizhong Xu |
| 260 |
_aNew York _bSpringer International Publishing _c2013 |
||
| 300 | _a1 recurso en línea (XV, 428 p.) 46 il., 12 il. col. | ||
| 336 |
_aTexto (visual) _btxt _2rdacontent |
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| 337 |
_aelectrónico _bc _2rdamedia |
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| 338 |
_arecurso electrónico _bcr _2rdacarrier |
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| 338 |
_aonline resource _bcr _2rdacarrier |
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| 520 | _aStatistical genomics is a rapidly developing field, with more and more people involved in this area. However, a lack of synthetic reference books and textbooks in statistical genomics has become a major hurdleÂ{u4BE0}the development of the field. Although many books have been published recently in bioinformatics, most of them emphasize DNA sequence analysis under a deterministic approach. Principles of Statistical Genomics synthesizes the state-of-the-art statistical methodologies (stochastic approaches) applied to genome study. It facilitates understanding of the statistical models and methods behind the major bioinformatics software packages, which will help researchers choose the optimal algorithm to analyze their data and better interpret the results of their analyses. Understanding existing statistical models and algorithms assists researchers to develop improved statistical methods to extract maximum information from their data. Resourceful and easy to use, Principles of Statistical Genomics isÂ{u1823}omprehensive reference for researchers and graduate students studying statistical genomics.Â{u0826} | ||
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| 988 | _aEBOOK, EBSPRINGERrevisado | ||
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_aGenomas _9162605 _0comprobar BNE20033155385 _2embne |
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_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://link.springer.com/book/10.1007/978-0-387-70807-2 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid) |
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