Fakultät für Informatik
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Technische Universität München
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System design of stochastic models using robustness of temporal properties
Ezio Bartocci
,
Luca Bortolussi
,
Laura Nenzi
,
Guido Sanguinetti
Theoretical Computer Science
587
, 2015, pp. 3-25
Large-scale learning of combinatorial transcriptional dynamics from gene expression
H.M. Shahzad Asif
,
Guido Sanguinetti
Bioinformatics
27
(9), 2011, pp. 1277-1283
Reconstructing transcription factor activities in hierarchical transcription network motifs
Andrea Ocone
,
Guido Sanguinetti
Bioinformatics
27
(20), 2011, pp. 2873-2879
TFInfer: A tool for probabilistic inference of transcription factor activities
H.M. Shahzad Asif
,
Matthew D. Rolfe
,
Jeff Green
,
Neil D. Lawrence
,
Magnus Rattray
,
Guido Sanguinetti
Bioinformatics
26
(20), 2010, pp. 2635-2636
Learning combinatorial transcriptional dynamics from gene expression data
Manfred Opper
,
Guido Sanguinetti
Bioinformatics
26
(13), 2010, pp. 1623-1629
Switching regulatory models of cellular stress response
Guido Sanguinetti
,
Andreas Ruttor
,
Manfred Opper
,
Cedric Archambeau
Bioinformatics
25
(10), 2009, pp. 1280-1286
Identifying differentially expressed subnetworks with MMG
Josselin Noirel
,
Guido Sanguinetti
,
Phillip C. Wright
Bioinformatics
24
(23), 2008, pp. 2792-2793
MMG: A probabilistic tool to identify submodules of metabolic pathways
Guido Sanguinetti
,
Josselin Noirel
,
Phillip C. Wright
Bioinformatics
24
(8), 2008, pp. 1078-1084
Probabilistic inference of transcription factor concentrations and gene-specific regulatory activities
Guido Sanguinetti
,
Neil D. Lawrence
,
Magnus Rattray
Bioinformatics
22
(22), 2006, pp. 2775-2781
A probabilistic dynamical model for quantitative inference of the regulatory mechanism of transcription
Guido Sanguinetti
,
Magnus Rattray
,
Neil D. Lawrence
Bioinformatics
22
(14), 2006, pp. 1753-1759
Accounting for probe-level noise in principal component analysis of microarray data
Guido Sanguinetti
,
Marta Milo
,
Magnus Rattray
,
Neil D. Lawrence
Bioinformatics
21
(19), 2005, pp. 3748-3754