000			02615nam a22003735i 4500
001			286652
003			MX-SnUAN
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007			cr nn 008mamaa
008			150903s2012 xxk| o |||| 0|eng d
020			_a9781447147510 _99781447147510
024	7		_a10.1007/9781447147510 _2doi
035			_avtls000339907
039		9	_a201509030841 _bVLOAD _c201404300407 _dVLOAD _y201402061012 _zstaff
040			_aMX-SnUAN _bspa _cMX-SnUAN _erda
050		4	_aQH324.2-324.25
100	1		_aVidyasagar, Mathukumalli. _eautor _9315398
245	1	0	_aComputational Cancer Biology : _bAn Interaction Network Approach / _cby Mathukumalli Vidyasagar.
264		1	_aLondon : _bSpringer London : _bImprint: Springer, _c2012.
300			_axii, 80 páginas 11 ilustraciones en color. _brecurso en línea.
336			_atexto _btxt _2rdacontent
337			_acomputadora _bc _2rdamedia
338			_arecurso en línea _bcr _2rdacarrier
347			_aarchivo de texto _bPDF _2rda
490	0		_aSpringerBriefs in Electrical and Computer Engineering, _x2191-8112
500			_aSpringer eBooks
505	0		_aIntroduction -- Inferring Genetic Regulatory Networks -- Context-specific Genomic Networks -- Analyzing Statistical Significance -- Separating Drivers from Passengers -- Some Research Directions.
520			_aThis brief introduces readers to various problems in cancer biology that are amenable to analysis using methods of probability theory and statistics, building on only a basic background in these two topics.   Aside from providing a self-contained introduction to several aspects of basic biology and to cancer, as well as to the techniques from statistics most commonly used in cancer biology, the brief describes several methods for inferring gene interaction networks from expression data, including one that is reported for the first time in the brief.  The application of these methods is illustrated on actual data from cancer cell lines.  Some promising directions for new research are also discussed.   After reading the brief, engineers and mathematicians should be able to collaborate fruitfully with their biologist colleagues on a wide variety of problems.
590			_aPara consulta fuera de la UANL se requiere clave de acceso remoto.
710	2		_aSpringerLink (Servicio en línea) _9299170
776	0	8	_iEdición impresa: _z9781447147503
856	4	0	_uhttp://remoto.dgb.uanl.mx/login?url=http://dx.doi.org/10.1007/978-1-4471-4751-0 _zConectar a Springer E-Books (Para consulta externa se requiere previa autentificación en Biblioteca Digital UANL)
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