Computational cancer biology: education is a natural key to many locks

Frank Emmert-Streib; Shu-Dong Zhang; Peter Hamilton

doi:10.1186/s12885-014-1002-2

Computational cancer biology: education is a natural key to many locks

Frank Emmert-Streib
, Shu-Dong Zhang
, Peter Hamilton

Queens University Belfast

Research output: Contribution to journal › Article › peer-review

9 Citations (Scopus)

83 Downloads (Pure)

Original language	English
Pages (from-to)	7
Journal	BMC Cancer
Volume	15
Issue number	1
DOIs	https://doi.org/10.1186/s12885-014-1002-2
Publication status	Published (in print/issue) - 15 Jan 2015

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Keywords

Cancer
Computational biology
Genomics data
Computational oncology
Computational genomics
Statistical genomics
Systems medicine

Access to Document

10.1186/s12885-014-1002-2

2015-0115-BMC-Cancer-key-lock-Fs12885-014-1002-2Final published version, 924 KB

Cite this

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title = "Computational cancer biology: education is a natural key to many locks",

keywords = "Cancer, Computational biology, Genomics data, Computational oncology, Computational genomics, Statistical genomics, Systems medicine",

author = "Frank Emmert-Streib and Shu-Dong Zhang and Peter Hamilton",

year = "2015",

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doi = "10.1186/s12885-014-1002-2",

language = "English",

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journal = "BMC Cancer",

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AU - Emmert-Streib, Frank

AU - Zhang, Shu-Dong

AU - Hamilton, Peter

PY - 2015/1/15

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KW - Cancer

KW - Computational biology

KW - Genomics data

KW - Computational oncology

KW - Computational genomics

KW - Statistical genomics

KW - Systems medicine

U2 - 10.1186/s12885-014-1002-2

DO - 10.1186/s12885-014-1002-2

M3 - Article

SN - 1471-2407

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JO - BMC Cancer

JF - BMC Cancer

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ER -