| 000 | 03569nam a22005295i 4500 | ||
|---|---|---|---|
| 001 | vtls000541683 | ||
| 003 | RU-ToGU | ||
| 005 | 20210922082212.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 160915s2014 xxu| s |||| 0|eng d | ||
| 020 |
_a9781493913817 _9978-1-4939-1381-7 |
||
| 024 | 7 |
_a10.1007/978-1-4939-1381-7 _2doi |
|
| 035 | _ato000541683 | ||
| 040 |
_aSpringer _cSpringer _dRU-ToGU |
||
| 050 | 4 | _aQH324.2-324.25 | |
| 072 | 7 |
_aPSA _2bicssc |
|
| 072 | 7 |
_aUB _2bicssc |
|
| 072 | 7 |
_aCOM014000 _2bisacsh |
|
| 082 | 0 | 4 |
_a570.285 _223 |
| 100 | 1 |
_aXu, Ying. _eauthor. _9303852 |
|
| 245 | 1 | 0 |
_aCancer Bioinformatics _helectronic resource _cby Ying Xu, Juan Cui, David Puett. |
| 260 |
_aNew York, NY : _bSpringer New York : _bImprint: Springer, _c2014. |
||
| 300 |
_aXXVI, 368 p. 68 illus. _bonline resource. |
||
| 336 |
_atext _btxt _2rdacontent |
||
| 337 |
_acomputer _bc _2rdamedia |
||
| 338 |
_aonline resource _bcr _2rdacarrier |
||
| 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. | ||
| 650 | 0 |
_aComputer Science. _9155490 |
|
| 650 | 0 |
_amedicine. _9566220 |
|
| 650 | 0 |
_aOncology. _9303086 |
|
| 650 | 0 |
_aBioinformatics. _9303853 |
|
| 650 | 0 |
_aBiological models. _9332680 |
|
| 650 | 1 | 4 |
_aComputer Science. _9155490 |
| 650 | 2 | 4 |
_aComputational Biology/Bioinformatics. _9306755 |
| 650 | 2 | 4 |
_aCancer Research. _9566267 |
| 650 | 2 | 4 |
_aSystems Biology. _9332681 |
| 650 | 2 | 4 |
_aBiomedicine general. _9566281 |
| 700 | 1 |
_aCui, Juan. _eauthor. _9447478 |
|
| 700 | 1 |
_aPuett, David. _eauthor. _9447479 |
|
| 710 | 2 |
_aSpringerLink (Online service) _9143950 |
|
| 773 | 0 | _tSpringer eBooks | |
| 856 | 4 | 0 | _uhttp://dx.doi.org/10.1007/978-1-4939-1381-7 |
| 912 | _aZDB-2-SCS | ||
| 999 | _c399622 | ||