000			03367nam a22005295i 4500
001			978-0-387-69321-7
003			DE-He213
005			20161121230734.0
007			cr nn 008mamaa
008			100301s2007 xxu| s |||| 0|eng d
020			_a9780387693217 _9978-0-387-69321-7
024	7		_a10.1007/978-0-387-69321-7 _2doi
050		4	_aRC254-282
072		7	_aMJCL _2bicssc
072		7	_aMED062000 _2bisacsh
082	0	4	_a616.994 _223
245	1	0	_aCancer Informatics in the Post Genomic Era _h[electronic resource] : _bToward Information-Based Medicine / _cedited by Igor Jurisica, Dennis A. Wigle, Bill Wong.
264		1	_aBoston, MA : _bSpringer US, _c2007.
300			_aXX, 180 p. 30 illus., 20 illus. in color. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _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	_aCancer research.
650		0	_aHuman genetics.
650		0	_aHealth informatics.
650		0	_aOncology.
650	1	4	_aMedicine & Public Health.
650	2	4	_aOncology.
650	2	4	_aCancer Research.
650	2	4	_aHuman Genetics.
650	2	4	_aHealth Informatics.
700	1		_aJurisica, Igor. _eeditor.
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
912			_aZDB-2-SME
950			_aMedicine (Springer-11650)
999			_c503255 _d503255