Learning responsive cellular networks by integrating genomics and proteomics data

Elma Akand; Michael Bain; Mark Temple

Learning responsive cellular networks by integrating genomics and proteomics data

Elma Akand, Michael Bain, Mark Temple

Research output: Chapter in Book / Conference Paper › Conference Paper › peer-review

Abstract

Systems biology is an important application area for ILP. We investigate learning networks of activity in response to stress in yeast cells. Diverse heterogeneous empirical data is used rather than curated knowledge sources. We show that although the representation is limited and predictive accuracy may be low this can still lead to useful outputs.

Original language	English
Title of host publication	Inductive Logic Programming : 19th International Conference, ILP 2009, Leuven, Belgium, July 02-04, 2009 : Posters
Publisher	Springer
Number of pages	6
ISBN (Print)	9783642138393
Publication status	Published - 2009
Event	ILP (Conference) - Duration: 1 Jan 2009 → …

Conference

Conference	ILP (Conference)
Period	1/01/09 → …

Keywords

genomics
proteomics
systems biology
yeast
effect of stress on
eukaryotic cells

Cite this

@inproceedings{331bb75e103c4879b65a557c415df917,

title = "Learning responsive cellular networks by integrating genomics and proteomics data",

abstract = "Systems biology is an important application area for ILP. We investigate learning networks of activity in response to stress in yeast cells. Diverse heterogeneous empirical data is used rather than curated knowledge sources. We show that although the representation is limited and predictive accuracy may be low this can still lead to useful outputs.",

keywords = "genomics, proteomics, systems biology, yeast, effect of stress on, eukaryotic cells",

author = "Elma Akand and Michael Bain and Mark Temple",

year = "2009",

language = "English",

isbn = "9783642138393",

booktitle = "Inductive Logic Programming : 19th International Conference, ILP 2009, Leuven, Belgium, July 02-04, 2009 : Posters",

publisher = "Springer",

note = "ILP (Conference) ; Conference date: 01-01-2009",

}

TY - GEN

T1 - Learning responsive cellular networks by integrating genomics and proteomics data

AU - Akand, Elma

AU - Bain, Michael

AU - Temple, Mark

PY - 2009

Y1 - 2009

N2 - Systems biology is an important application area for ILP. We investigate learning networks of activity in response to stress in yeast cells. Diverse heterogeneous empirical data is used rather than curated knowledge sources. We show that although the representation is limited and predictive accuracy may be low this can still lead to useful outputs.

AB - Systems biology is an important application area for ILP. We investigate learning networks of activity in response to stress in yeast cells. Diverse heterogeneous empirical data is used rather than curated knowledge sources. We show that although the representation is limited and predictive accuracy may be low this can still lead to useful outputs.

KW - genomics

KW - proteomics

KW - systems biology

KW - yeast

KW - effect of stress on

KW - eukaryotic cells

UR - http://handle.uws.edu.au:8081/1959.7/uws:34580

M3 - Conference Paper

SN - 9783642138393

BT - Inductive Logic Programming : 19th International Conference, ILP 2009, Leuven, Belgium, July 02-04, 2009 : Posters

PB - Springer

T2 - ILP (Conference)

Y2 - 1 January 2009

ER -

Learning responsive cellular networks by integrating genomics and proteomics data

Abstract

Conference

Keywords

Other files and links

Fingerprint

Cite this