Diego di Bernardo
Diego di Bernardo
Dept. Chemical, Materials and Industrial Production Engineering, Univ. Federico II of Naples & TIGEM
Verified email at tigem.it - Homepage
TitleCited byYear
Inferring genetic networks and identifying compound mode of action via expression profiling
TS Gardner, D Di Bernardo, D Lorenz, JJ Collins
Science 301 (5629), 102-105, 2003
How to infer gene networks from expression profiles
M Bansal, V Belcastro, A Ambesi‐Impiombato, D Di Bernardo
Molecular systems biology 3 (1), 2007
Discovery of drug mode of action and drug repositioning from transcriptional responses
F Iorio, R Bosotti, E Scacheri, V Belcastro, P Mithbaokar, R Ferriero, ...
Proceedings of the National Academy of Sciences 107 (33), 14621-14626, 2010
Chemogenomic profiling on a genome-wide scale using reverse-engineered gene networks
D di Bernardo, MJ Thompson, TS Gardner, SE Chobot, EL Eastwood, ...
Nature biotechnology 23 (3), 377, 2005
Inference of gene regulatory networks and compound mode of action from time course gene expression profiles
M Bansal, GD Gatta, D Di Bernardo
Bioinformatics 22 (7), 815-822, 2006
A yeast synthetic network for in vivo assessment of reverse-engineering and modeling approaches
I Cantone, L Marucci, F Iorio, MA Ricci, V Belcastro, M Bansal, S Santini, ...
Cell 137 (1), 172-181, 2009
Id proteins synchronize stemness and anchorage to the niche of neural stem cells
F Niola, X Zhao, D Singh, A Castano, R Sullivan, M Lauria, H Nam, ...
Nature cell biology 14 (5), 477, 2012
Robust identification of large genetic networks
D Di Bernardo, TS Gardner, JJ Collins
Biocomputing 2004, 486-497, 2003
Direct targets of the TRP63 transcription factor revealed by a combination of gene expression profiling and reverse engineering
G Della Gatta, M Bansal, A Ambesi-Impiombato, D Antonini, C Missero, ...
Genome research 18 (6), 939-948, 2008
Transcriptional gene network inference from a massive dataset elucidates transcriptome organization and gene function
V Belcastro, V Siciliano, F Gregoretti, P Mithbaokar, G Dharmalingam, ...
Nucleic acids research 39 (20), 8677-8688, 2011
MiRNAs confer phenotypic robustness to gene networks by suppressing biological noise
V Siciliano, I Garzilli, C Fracassi, S Criscuolo, S Ventre, D Di Bernardo
Nature communications 4, 2364, 2013
Identifying network of drug mode of action by gene expression profiling
F Iorio, R Tagliaferri, D Bernardo
Journal of Computational Biology 16 (2), 241-251, 2009
In-vivo real-time control of protein expression from endogenous and synthetic gene networks
F Menolascina, G Fiore, E Orabona, L De Stefano, M Ferry, J Hasty, ...
PLoS computational biology 10 (5), e1003625, 2014
ddbRNA: detection of conserved secondary structures in multiple alignments
D Di Bernardo, T Down, T Hubbard
Bioinformatics 19 (13), 1606-1611, 2003
Analysis, design and implementation of a novel scheme for in-vivo control of synthetic gene regulatory networks
F Menolascina, M Di Bernardo, D Di Bernardo
Automatica 47 (6), 1265-1270, 2011
A model of two nonlinear coupled oscillators for the study of heartbeat dynamics
D di Bernardo, MG Signorini
International journal of Bifurcation and Chaos 8 (10), 1975-1985, 1998
Inference of gene networks from temporal gene expression profiles
M Bansal, D di Bernardo
IET systems biology 1 (5), 306-312, 2007
Modeling RNA interference in mammalian cells
G Cuccato, A Polynikis, V Siciliano, M Graziano, M di Bernardo, ...
BMC systems biology 5 (1), 19, 2011
Autophagosome–lysosome fusion triggers a lysosomal response mediated by TLR9 and controlled by OCRL
MG De Leo, L Staiano, M Vicinanza, A Luciani, A Carissimo, M Mutarelli, ...
Nature cell biology 18 (8), 839, 2016
Medical physics: Explaining the T-wave shape in the ECG
D di Bernardo, A Murray
Nature 403 (6765), 40, 2000
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