000			03366cam a22004697a 4500
001			18215626
003			IN-BdCUP
005			20240926145230.0
008			140708s2014 nyua b 001 0 eng
010			_a 2014945124
016	7		_a101651599 _2DNLM
020			_a9781493913800
035			_a(OCoLC)ocn880965578
040			_aNLM _beng _cNLM _dYDXCP _dBTCTA _dCDX _dYOM _dOCLCF _dOCLCO _dDLC
042			_anlmcopyc _alccopycat
050	0	0	_aRC257 _b.X8 2014
082	0	0	_a616.99406 _bXU
100	1		_aXu, Ying, _d1960-
245	1	0	_aCancer bioinformatics / _cXu Ying, Cui Juan, Puett David .
260			_aNew York : _bSpringer, _cc2014.
300			_axxvi, 368 p. : _bill. ; _c24 cm.
336			_atext _btxt _2rdacontent
337			_aunmediated _bn _2rdamedia
338			_avolume _bnc _2rdacarrier
504			_aIncludes bibliographical references and index.
505	0		_aBasic cancer biology -- Omic data, information derivable and computational needs -- Cancer classification and molecular signature identification -- Understanding cancer at the genomic level -- Elucidation of cancer divers through comparative omic analyses -- Hyaluronic acid: A key facilitator of cancer evolution -- Multiple routes for survival: Understanding how cancer evades apoptosis -- Cancer development in competitive and hostile environments -- Cell proliferation from regulated to deregulated state via epigenomic responses -- Understanding cancer invasion and metastasis -- Cancer after metastasis: The second transformation -- Searching for cancer biomarkers in human body fluids -- In silico investigation of cancer using publicly available data -- Understanding cancer as an evolving complex system: our perspective.
520			_aThis book provides a framework for computational researchers studying the basics of cancer through comparative analyses of omic data. It discusses how key cancer pathways can be analyzed and discovered to derive new insights into the disease and identifies diagnostic and prognostic markers for cancer. Chapters explain the basic cancer biology and how cancer develops, including the many potential survival routes. The examination of gene-expression patterns uncovers commonalities across multiple cancers and specific characteristics of individual cancer types. The authors also treat cancer as an evolving complex system, explore future case studies, and summarize the essential online data sources. Cancer Bioinformatics is designed for practitioners and researchers working in cancer research and bioinformatics. It is also suitable as a secondary textbook for advanced-level students studying computer science, biostatistics or biomedicine. -- _cSource other than Library of Congress.
650		0	_aCancer _xTreatment _xData processing.
650		0	_aBioinformatics.
650	1	2	_aComputational Biology.
650	1	2	_aNeoplasms _xphysiopathology.
650	2	2	_aMedical Informatics _xmethods.
650	2	2	_aNeoplasm Metastasis.
650		7	_aBioinformatics. _2fast _0(OCoLC)fst00832181
650		7	_aCancer _xTreatment _xData processing. _2fast _0(OCoLC)fst00845543
700	1		_aCui, Juan.
700	1		_aPuett, David.
906			_a7 _bcbc _ccopycat _d2 _eepcn _f20 _gy-gencatlg
942			_2ddc _cBK
999			_c16288 _d16288