000			02946nam a22003735i 4500
999			_c76542 _d76542 _x1
001			76542
003			ES-MaUEC
005			20230207040228.0
007			cr nn 008mamaa
008			140103s2013 gw s 000 0 eng d
020			_a9783642451614
024	7		_a10.1007/978-3-642-45161-4 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aQH441.2 _b.G46 2013 EB
082	0	4	_a570
245	0	0	_aGene Network Inference : _bVerification of Methods for Systems Genetics Data _cedited by Alberto Fuente
264		1	_aBerlin, Heidelberg _bSpringer International Publishing _c2013
300			_a1 recurso en línea (XI, 130 p.) _b49 ilustraciones, 33 ilustraciones en color
336			_aTexto (visual) _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
505	0		_aSimulation of the Benchmark Datasets -- A Panel of Learning Methods for the Reconstruction of Gene Regulatory Networks in a Systems Genetics Context -- Benchmarking a simple yet effective approach for inferring gene regulatory networks from systems genetics data -- Differential Equation based reverse-engineering algorithms: pros and cons -- Gene regulatory network inference from systems genetics data using tree-based methods -- Extending partially known networks -- Integration of genetic variation as external perturbation to reverse engineer regulatory networks from gene expression data -- Using Simulated Data to Evaluate Bayesian Network Approach for Integrating Diverse Data
520	3		_aThis book presents recent methods for Systems Genetics (SG) data analysis, applying them to a suite of simulated SG benchmark datasets. Each of the chapter authors received the same datasets to evaluate the performance of their method to better understand which algorithms are most useful for obtaining reliable models from SG datasets. The knowledge gained from this benchmarking study will ultimately allow these algorithms to be used with confidence for SG studies e.g. of complex human diseases or food crop improvement. The book is primarily intended for researchers with a background in the life sciences, not for computer scientists or statisticians
650	0	7	_aGenética _0LocalV _2embne _9138044
650		7	_aBioinformática _0comprobar BNE20022028248 _2embne _9160489
700	1		_aFuente, Alberto de la _c(Geneticist) _0n 2014184526 _eeditor literario _948502
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://link.springer.com/book/10.1007/978-3-642-45161-4 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
901			_ai9783642451614
907			_a.b12821603 _b23-10-17 _c01-10-14
942			_2lcc _cLE
945			_aQH441.2 .G46 2013 EB _g1 _ieBOOK _j0 _lmae _o- _pEUR0.00 _q- _r- _sb _t15 _u0 _v0 _w0 _x0 _y.i11550818 _z06-04-17
988			_aEBOOK, EBSPRINGERrevisando
998			_am _a_alco _a_vill _b23-10-17 _cm _dz _eu _feng _ggw _h0