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Martin Crane
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2010
A. Sirbu
,
Ruskin, H. J.
, and
Crane, M.
,
“
Comparison of evolutionary algorithms in gene regulatory network model inference.
”
,
BMC Bioinformatics
, vol. 11, p. 59, 2010.
PubMed
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A. Sirbu
,
Ruskin, H. J.
, and
Crane, M.
,
“
Cross-platform microarray data normalisation for regulatory network inference.
”
,
PLoS One
, vol. 5, p. e13822, 2010.
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A. Sirbu
,
Ruskin, H. J.
, and
Crane, M.
,
“
Regulatory network modelling: Correlation for structure and parameter optimisation
”
,
Proceedings of The IASTED Technology Conferences (International Conference on Computational Bioscience), Cambridge, Massachusetts
, pp. 3473–3481, 2010.
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2011
A. Sirbu
,
Ruskin, H. J.
, and
Crane, M.
,
“
Stages of Gene Regulatory Network Inference: the Evolutionary Algorithm Role
”
, in
Evolutionary Algorithms
, InTech, 2011.
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2012
A. Sirbu
,
Ruskin, H. J.
, and
Crane, M.
,
“
Integrating heterogeneous gene expression data for gene regulatory network modelling.
”
,
Theory Biosci
, vol. 131, pp. 95-102, 2012.
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A. Sirbu
,
Kerr, G.
,
Crane, M.
, and
Ruskin, H. J.
,
“
RNA-Seq vs dual- and single-channel microarray data: sensitivity analysis for differential expression and clustering.
”
,
PLoS One
, vol. 7, p. e50986, 2012.
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D. Marbach
,
Costello, J. C.
,
Küffner, R.
,
Vega, N. M.
,
Prill, R. J.
,
Camacho, D. M.
,
Allison, K. R.
,
Kellis, M.
,
Collins, J. J.
,
Aderhold, A.
,
Stolovitzky, G.
,
Bonneau, R.
,
Chen, Y.
,
Cordero, F.
,
Crane, M.
,
Dondelinger, F.
,
Drton, M.
,
Esposito, R.
,
Foygel, R.
,
De La Fuente, A.
,
Gertheiss, J.
,
Geurts, P.
,
Greenfield, A.
,
Grzegorczyk, M.
,
Haury, A. - C.
,
Holmes, B.
,
Hothorn, T.
,
Husmeier, D.
,
Huynh-Thu, V. A.
,
Irrthum, A.
,
Karlebach, G.
,
Lebre, S.
,
De Leo, V.
,
Madar, A.
,
Mani, S.
,
Mordelet, F.
,
Ostrer, H.
,
Ouyang, Z.
,
Pandya, R.
,
Petri, T.
,
Pinna, A.
,
Poultney, C. S.
,
Rezny, S.
,
Ruskin, H. J.
,
Saeys, Y.
,
Shamir, R.
,
Sirbu, A.
,
Song, M.
,
Soranzo, N.
,
Statnikov, A.
,
Vega, N. M.
,
Vera-Licona, P.
,
Vert, J. - P.
,
Visconti, A.
,
Wang, H.
,
Wehenkel, L.
,
Windhager, L.
,
Zhang, Y.
, and
Zimmer, R.
,
“
Wisdom of crowds for robust gene network inference
”
,
Nature Methods
, vol. 9, pp. 796-804, 2012.
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2014
A. Sirbu
,
Crane, M.
, and
Ruskin, H. J.
,
“
EGIA–Evolutionary Optimisation of Gene Regulatory Networks, an Integrative Approach
”
, in
Complex Networks V
, Springer International Publishing, 2014, pp. 217–229.
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2015
A. Sirbu
,
Crane, M.
, and
Ruskin, H. J.
,
“
Data Integration for Microarrays: Enhanced Inference for Gene Regulatory Networks
”
,
Microarrays
, vol. 4, pp. 255–269, 2015.
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