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020 _a9781617798337
024 7 _a10.1007/978-1-61779-833-7
_2doi
040 _aES-MaUEC
_bspa
_cES-MaUEC
_dES-MaUEC
050 _aQP517.C45
_b2012 EB
245 0 0 _aComputational Modeling of Signaling Networks
_cedited by Xuedong Liu, Meredith D. Betterton.
250 _a1st edition 2012
264 1 _aTotowa, NJ
_bHumana Press
_c2012
300 _a1 recurso en línea (XIV, 327 páginas)
_b75 ilustraciones, 10 ilustraciones a color
336 _atexto
_btxt
_2rdacontent
337 _aelectrónico
_bc
_2rdamedia
338 _arecurso electrónico
_bcr
_2rdacarrier
347 _aarchivo de texto
_bPDF
490 0 _aMethods in Molecular Biology
_x1940-6029
_v880
520 _aSignaling networks are composed of numerous signaling pathways and each has its own intricate component parts. Signaling outputs are dynamic, extraordinarily complex and yet highly specific.  In, Computational Modeling of Signaling Networks: Methods and Protocols, expert researchers in the field provide key techniques to study signaling networks. Focusing on Systems of ODEs, parameterization of signaling models, signaling pathways, mass-action kinetics and ODEs, and how to use modeling to plan experiments. Written in the highly successful Methods in Molecular Biology™ series format, the chapters include the kind of detailed description and implementation advice that is crucial for getting optimal results in the laboratory.     Thorough and intuitive, Computational Modeling of Signaling Networks: Methods and Protocols aids scientists in continuing study of how signaling networks behave in space and time to generate specific biological responses  and how those responses impact biology and medicine.
988 _aSpringer_Protocols_2012
650 7 _2embne
_9689361
_aTransducción de la señal celular
_vManuales de laboratorio
776 0 8 _iPrinted edition:
_z9781617798320
776 0 8 _iPrinted edition:
_z9781617798344
776 0 8 _iPrinted edition:
_z9781493958436
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-1-61779-833-7
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942 _2lcc
_cLE
998 _b09/2023
_dz
_ean
_zSI