Cancer Bioinformatics (Record no. 57801)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 03380nam a22005175i 4500 |
| 001 - CONTROL NUMBER | |
| control field | 978-1-4939-1381-7 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20200421112228.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 140830s2014 xxu| s |||| 0|eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 9781493913817 |
| -- | 978-1-4939-1381-7 |
| 082 04 - CLASSIFICATION NUMBER | |
| Call Number | 570.285 |
| 100 1# - AUTHOR NAME | |
| Author | Xu, Ying. |
| 245 10 - TITLE STATEMENT | |
| Title | Cancer Bioinformatics |
| 300 ## - PHYSICAL DESCRIPTION | |
| Number of Pages | XXVI, 368 p. 68 illus. |
| 505 0# - FORMATTED CONTENTS NOTE | |
| Remark 2 | Basic 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 ## - SUMMARY, ETC. | |
| Summary, etc | This 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. |
| 700 1# - AUTHOR 2 | |
| Author 2 | Cui, Juan. |
| 700 1# - AUTHOR 2 | |
| Author 2 | Puett, David. |
| 856 40 - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | http://dx.doi.org/10.1007/978-1-4939-1381-7 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | eBooks |
| 264 #1 - | |
| -- | New York, NY : |
| -- | Springer New York : |
| -- | Imprint: Springer, |
| -- | 2014. |
| 336 ## - | |
| -- | text |
| -- | txt |
| -- | rdacontent |
| 337 ## - | |
| -- | computer |
| -- | c |
| -- | rdamedia |
| 338 ## - | |
| -- | online resource |
| -- | cr |
| -- | rdacarrier |
| 347 ## - | |
| -- | text file |
| -- | |
| -- | rda |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Computer science. |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Cancer research. |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Bioinformatics. |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Systems biology. |
| 650 14 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Computer Science. |
| 650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Computational Biology/Bioinformatics. |
| 650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Cancer Research. |
| 650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Systems Biology. |
| 650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Biomedicine general. |
| 912 ## - | |
| -- | ZDB-2-SCS |
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