Genes identified via Bayesian network analysis of temporal dynamic expression are prognostic of survival in ovarian cancer

Hannah Currant; Athanasios Vogogias; V.A. Smith

Genes identified via Bayesian network analysis of temporal dynamic expression are prognostic of survival in ovarian cancer

Hannah Currant, Athanasios Vogogias, V.A. Smith

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

Original language	English
Title of host publication	15th Bayesian Modeling Applications Workshop
Publication status	Accepted/In press - 20 Jul 2021
Event	UAI 15th Bayesian Modelling Applications Workshop (@UAI2021) - Online Duration: 30 Jul 2021 → 30 Jul 2021 Conference number: 15 http://abnms.org/uai2021-apps-workshop/

Publication series

Name	CEUR workshop proceedings
Publisher	Aachen
ISSN (Print)	1613-0073

Workshop

Workshop	UAI 15th Bayesian Modelling Applications Workshop (@UAI2021)
Abbreviated title	@UAI2021
Period	30/07/21 → 30/07/21
Internet address	http://abnms.org/uai2021-apps-workshop/

UN SDGs

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

Access to Document

http://abnms.org/uai2021-apps-workshop/papers/BMAW-2021_paper_7.pdf

Cite this

@inproceedings{74358c683ce44565943b0d36e63e1bd8,

title = "Genes identified via Bayesian network analysis of temporal dynamic expression are prognostic of survival in ovarian cancer",

author = "Hannah Currant and Athanasios Vogogias and V.A. Smith",

note = "VAS and HC received support from St Andrews University School of Biology.; UAI 15th Bayesian Modelling Applications Workshop (@UAI2021), @UAI2021 ; Conference date: 30-07-2021 Through 30-07-2021",

year = "2021",

month = jul,

day = "20",

language = "English",

series = "CEUR workshop proceedings",

publisher = "Aachen",

booktitle = "15th Bayesian Modeling Applications Workshop",

url = "http://abnms.org/uai2021-apps-workshop/",

}

Currant, H, Vogogias, A & Smith, VA 2021, Genes identified via Bayesian network analysis of temporal dynamic expression are prognostic of survival in ovarian cancer. in 15th Bayesian Modeling Applications Workshop. CEUR workshop proceedings, UAI 15th Bayesian Modelling Applications Workshop (@UAI2021), 30/07/21. <http://abnms.org/uai2021-apps-workshop/papers/BMAW-2021_paper_7.pdf >

TY - GEN

T1 - Genes identified via Bayesian network analysis of temporal dynamic expression are prognostic of survival in ovarian cancer

AU - Currant, Hannah

AU - Vogogias, Athanasios

AU - Smith, V.A.

N1 - Conference code: 15

PY - 2021/7/20

Y1 - 2021/7/20

M3 - Conference contribution

T3 - CEUR workshop proceedings

BT - 15th Bayesian Modeling Applications Workshop

T2 - UAI 15th Bayesian Modelling Applications Workshop (@UAI2021)

Y2 - 30 July 2021 through 30 July 2021

ER -