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Cancer bioinformatics [electronic resource]

Cancer bioinformatics [electronic resource]

자료유형
E-Book(소장)
개인저자
Xu, Ying, 1960-. Cui, Juan. Puett, David.
서명 / 저자사항
Cancer bioinformatics [electronic resource] / Ying Xu, Juan Cui, David Puett.
발행사항
New York, NY :   Springer New York :   Imprint: Springer,   2014.  
형태사항
1 online resource (xxvi, 368 p.) : ill.
ISBN
9781493913817
요약
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.
일반주기
Title from e-Book title page.  
내용주기
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.
서지주기
Includes bibliographical references and index.
이용가능한 다른형태자료
Issued also as a book.  
일반주제명
Cancer --Treatment --Data processing. Bioinformatics. Computational Biology. Neoplasms --physiopathology. Medical Informatics --methods. Neoplasm Metastasis.
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001 000046043114
005 20200910095534
006 m d
007 cr
008 200814s2014 nyua ob 001 0 eng d
020 ▼a 9781493913817
040 ▼a 211009 ▼c 211009 ▼d 211009
050 4 ▼a QH324.2-324.25
082 0 0 ▼a 616.99/400285 ▼2 23
084 ▼a 616.99400285 ▼2 DDCK
090 ▼a 616.99400285
100 1 ▼a Xu, Ying, ▼d 1960-.
245 1 0 ▼a Cancer bioinformatics ▼h [electronic resource] / ▼c Ying Xu, Juan Cui, David Puett.
260 ▼a New York, NY : ▼b Springer New York : ▼b Imprint: Springer, ▼c 2014.
300 ▼a 1 online resource (xxvi, 368 p.) : ▼b ill.
500 ▼a Title from e-Book title page.
504 ▼a Includes bibliographical references and index.
505 0 ▼a 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 ▼a 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.
530 ▼a Issued also as a book.
538 ▼a Mode of access: World Wide Web.
650 0 ▼a Cancer ▼x Treatment ▼x Data processing.
650 0 ▼a Bioinformatics.
650 1 2 ▼a Computational Biology.
650 1 2 ▼a Neoplasms ▼x physiopathology.
650 2 2 ▼a Medical Informatics ▼x methods.
650 2 2 ▼a Neoplasm Metastasis.
700 1 ▼a Cui, Juan.
700 1 ▼a Puett, David.
856 4 0 ▼u https://oca.korea.ac.kr/link.n2s?url=http://dx.doi.org/10.1007/978-1-4939-1381-7
945 ▼a KLPA
991 ▼a E-Book(소장)

소장정보

No. 소장처 청구기호 등록번호 도서상태 반납예정일 예약 서비스
No. 1 소장처 중앙도서관/e-Book 컬렉션/ 청구기호 CR 616.99400285 등록번호 E14031831 도서상태 대출불가(열람가능) 반납예정일 예약 서비스 M

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