000			03253nam a22004815i 4500
001			978-0-387-69321-7
003			DE-He213
005			20250710084010.0
007			cr nn 008mamaa
008			100301s2007 xxu| s |||| 0|eng d
020			_a9780387693217 _a99780387693217
024	7		_a10.1007/978-0-387-69321-7 _2doi
082	0	4	_a614.5999 _223
100	1		_aJurisica, Igor. _eeditor.
245	1	0	_aCancer Informatics in the Post Genomic Era _h[recurso electrónico] : _bToward Information-Based Medicine / _cedited by Igor Jurisica, Dennis A. Wigle, Bill Wong.
264		1	_aBoston, MA : _bSpringer US, _c2007.
300			_bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_arecurso en línea _bcr _2rdacarrier
347			_atext file _bPDF _2rda
490	1		_aCancer Treatment and Research, _x0927-3042 ; _v137
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
650		0	_aMEDICINE.
650		0	_aONCOLOGY.
650		0	_aHUMAN GENETICS.
650		0	_aMEDICAL RECORDS _xDATA PROCESSING.
650	1	4	_aBIOMEDICINE.
650	2	4	_aCANCER RESEARCH.
650	2	4	_aHUMAN GENETICS.
650	2	4	_aHEALTH INFORMATICS.
700	1		_aWigle, Dennis A. _eeditor.
700	1		_aWong, Bill. _eeditor.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9780387693200
830		0	_aCancer Treatment and Research, _x0927-3042 ; _v137
856	4	0	_uhttp://dx.doi.org/10.1007/978-0-387-69321-7 _zVer el texto completo en las instalaciones del CICY
912			_aZDB-2-SME
942			_2ddc _cER
999			_c58120 _d58120