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020 _a9780387693217
_99780387693217
024 7 _a10.1007/9780387693217
_2doi
035 _avtls000332020
039 9 _a201509030212
_bVLOAD
_c201404122010
_dVLOAD
_c201404091737
_dVLOAD
_y201402041018
_zstaff
040 _aMX-SnUAN
_bspa
_cMX-SnUAN
_erda
050 4 _aRC261-271
100 1 _aJurisica, Igor.
_eeditor.
_9304647
245 1 0 _aCancer Informatics in the Post Genomic Era :
_bToward Information-Based Medicine /
_cedited by Igor Jurisica, Dennis A. Wigle, Bill Wong.
264 1 _aBoston, MA :
_bSpringer US,
_c2007.
300 _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 _aCancer Treatment and Research,
_x0927-3042 ;
_v137
500 _aSpringer eBooks
505 0 _aI -- II -- Bio-Medical Platforms -- In Vivo Systems for Studying Cancer -- Molecular Subtypes of Cancer from Gene Expression Profiling -- Mass Spectrometry-based Systems Biology -- III -- Computational Platforms -- Informatics -- Integrative Computational Biology -- IV -- Future Steps and Challenges.
520 _aMedical information science requires analytic tools. This is achieved by developing and assessing methods and systems for the acquisition, processing, and interpretation of patient data, aided by scientific discovery. Cancer Informatics in Post-Genomic Era provides both the necessary methodology and practical information tools. Key challenges include integrating research and clinical care, sharing data, and establishing partnerships within and across sectors of patient diagnosis and treatment. Addressing important clinical questions in cancer research will benefit from expanding computational biology. The advent of genomic and proteomic technologies has ushered forth the era of genuine medicine. The promise of these advances is true "personalized medicine" where treatment strategies can be individually tailored and advance to initiating intervention before visible symptoms appear. Series editor comments: "Cancer informatics has become a critical component of modern investigations. A combination of system's biology and the magnitude of data sets associated with cancer research require sophisticated technologies to manage the broad spectrum of collective knowledge. This text provides a comprehensive review of the field presented by leaders in the discipline." Steven T. Rosen, M.D. Series Editor
590 _aPara consulta fuera de la UANL se requiere clave de acceso remoto.
700 1 _aWigle, Dennis A.
_eeditor.
_9304648
700 1 _aWong, Bill.
_eeditor.
_9304649
710 2 _aSpringerLink (Servicio en línea)
_9299170
776 0 8 _iEdición impresa:
_z9780387693200
856 4 0 _uhttp://remoto.dgb.uanl.mx/login?url=http://dx.doi.org/10.1007/978-0-387-69321-7
_zConectar a Springer E-Books (Para consulta externa se requiere previa autentificación en Biblioteca Digital UANL)
942 _c14
999 _c280014
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