Mining Regulatory Network Connections by Ranking Transcription Factor Target Genes Using Time Series Expression Data

[edit]

Antti Honkela, University of Helsinki
Magnus Rattray, University of Manchester
Neil D. Lawrence, University of Sheffield

in Data Mining for Systems Biology

Abstract


@InCollection{honkela-mining12,
  title = 	 {Mining Regulatory Network Connections by Ranking Transcription Factor Target Genes Using Time Series Expression Data},
  author = 	 {Antti Honkela and Magnus Rattray and Neil D. Lawrence},
  booktitle = 	 {Data Mining for Systems Biology},
  year = 	 {2013},
  editor = 	 {Hiroshi Mamitsuka and Charles DeLisi and Minoru Kanehisa},
  month = 	 {00},
  publisher = 	 {Springer-Verlag},
  edit = 	 {https://github.com/lawrennd//publications/edit/gh-pages/_posts/2013-01-01-honkela-mining12.md},
  url =  	 {http://inverseprobability.com/publications/honkela-mining12.html},
  abstract = 	 {},
  key = 	 {Honkela:mining12},
  OPTgroup = 	 {}
 

}
%T Mining Regulatory Network Connections by Ranking Transcription Factor Target Genes Using Time Series Expression Data
%A Antti Honkela and Magnus Rattray and Neil D. Lawrence
%B 
%C Data Mining for Systems Biology
%D 
%E Hiroshi Mamitsuka and Charles DeLisi and Minoru Kanehisa
%F honkela-mining12
%I Springer-Verlag	
%P --
%R 
%U http://inverseprobability.com/publications/honkela-mining12.html
%X 
TY  - CPAPER
TI  - Mining Regulatory Network Connections by Ranking Transcription Factor Target Genes Using Time Series Expression Data
AU  - Antti Honkela
AU  - Magnus Rattray
AU  - Neil D. Lawrence
BT  - Data Mining for Systems Biology
PY  - 2013/01/01
DA  - 2013/01/01
ED  - Hiroshi Mamitsuka
ED  - Charles DeLisi
ED  - Minoru Kanehisa	
ID  - honkela-mining12
PB  - Springer-Verlag	
SP  - 
EP  - 
UR  - http://inverseprobability.com/publications/honkela-mining12.html
AB  - 
ER  -

Honkela, A., Rattray, M. & Lawrence, N.D.. (2013). Mining Regulatory Network Connections by Ranking Transcription Factor Target Genes Using Time Series Expression Data. Data Mining for Systems Biology :-