Cancer systems biology

D Faratian; JL Bown; V Anne Smith; SP Langdon; David James Harrison

doi:10.1007/978-1-60761-800-3_12

Cancer systems biology

D Faratian, JL Bown, V Anne Smith, SP Langdon, David James Harrison

Research output: Chapter in Book/Report/Conference proceeding › Chapter

Original language	English
Title of host publication	Systems Biology in Drug Discovery and Development
Subtitle of host publication	Methods and Protocols
Editors	Q Yan
Publisher	Springer
Pages	245-263
Edition	1
ISBN (Electronic)	978-1-60761-800-3
ISBN (Print)	978-1-60761-799-0
DOIs	https://doi.org/10.1007/978-1-60761-800-3_12
Publication status	Published - 2010

Publication series

Name	Methods in Molecular Biology
Publisher	Springer
Volume	662
ISSN (Print)	1064-3745

UN SDGs

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

Access to Document

10.1007/978-1-60761-800-3_12

Cite this

@inbook{c91a3892b2fb426a832ef9708966b814,

title = "Cancer systems biology",

author = "D Faratian and JL Bown and Smith, {V Anne} and SP Langdon and Harrison, {David James}",

year = "2010",

doi = "10.1007/978-1-60761-800-3_12",

language = "English",

isbn = "978-1-60761-799-0",

series = "Methods in Molecular Biology",

publisher = "Springer",

pages = "245--263",

editor = "Q Yan",

booktitle = "Systems Biology in Drug Discovery and Development",

address = "Netherlands",

edition = "1",

}

TY - CHAP

T1 - Cancer systems biology

AU - Faratian, D

AU - Bown, JL

AU - Smith, V Anne

AU - Langdon, SP

AU - Harrison, David James

PY - 2010

Y1 - 2010

UR - http://www.scopus.com/inward/record.url?scp=79952109076&partnerID=8YFLogxK

U2 - 10.1007/978-1-60761-800-3_12

DO - 10.1007/978-1-60761-800-3_12

M3 - Chapter

SN - 978-1-60761-799-0

T3 - Methods in Molecular Biology

SP - 245

EP - 263

BT - Systems Biology in Drug Discovery and Development

A2 - Yan, Q

PB - Springer

ER -

Cancer systems biology

Publication series

UN SDGs

Access to Document

Other files and links

BB/F001398/1 Bayesian Network: Advancing Bayesian network algorithms for inferring gene regulation using an integrative computational-bilogical approach in a yeast model system

Cite this

Cancer systems biology

Publication series

UN SDGs

Access to Document

Other files and links

Projects

BB/F001398/1 Bayesian Network: Advancing Bayesian network algorithms for inferring gene regulation using an integrative computational-bilogical approach in a yeast model system

Cite this