Output details
11 - Computer Science and Informatics
University of Edinburgh
Article title
Switching regulatory models of cellular stress response
Type
D - Journal article
Title of journal
Bioinformatics
Article number
-
Volume number
25
Issue number
10
First page of article
1280
ISSN of journal
1367-4803
Year of publication
2009
Number of additional authors
3
Additional information
<28> Originality: The paper devises a novel approximate inference approach for continuous time hybrid continuous-discrete models of gene regulation.
Significance: Inference in gene regulation is essential as Transcription Factor protein levels can rarely be measured. However, inference in realistic, continuous time models of transcription is technically challenging. This paper proposed a new hybrid model which was then generalised to allow, for the first time, an inferential framework for hierarchical and combinatorial gene networks.
Rigour: A novel optimisation based inference method for a class of dynamical systems was developed, with theoretical guarantees of convergence.
Interdisciplinary
-
Cross-referral requested
-
Research group
B - Institute for Adaptive & Neural Computation
Citation count
15
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-
