Carlo Vittorio Cannistraci
Carlo Vittorio Cannistraci
Director, Center for Complex Network Intelligence, Tsinghua University
Verified email at mail.tsinghua.edu.cn - Homepage
Title
Cited by
Cited by
Year
A promoter-level mammalian expression atlas
Fantom Consortium
Nature 507 (7493), 462, 2014
12142014
An atlas of combinatorial transcriptional regulation in mouse and man
T Ravasi, H Suzuki, CV Cannistraci
Cell 140 (5), 744-752, 2010
7182010
From link-prediction in brain connectomes and protein interactomes to the local-community-paradigm in complex networks
CV Cannistraci, G Alanis-Lobato, T Ravasi
Scientific reports 3 (1), 1-14, 2013
2962013
Specificity and transcriptional activity of microbiota associated with low and high microbial abundance sponges from the Red Sea
L Moitinho‐Silva, K Bayer, CV Cannistraci, EC Giles, T Ryu, L Seridi, ...
Molecular Ecology 23 (6), 1348-1363, 2014
1212014
Ceruloplasmin oxidation, a feature of Parkinson's disease CSF, inhibits ferroxidase activity and promotes cellular iron retention
S Olivieri, A Conti, S Iannaccone, CV Cannistraci, A Campanella, ...
Journal of Neuroscience 31 (50), 18568-18577, 2011
1202011
Minimum curvilinearity to enhance topological prediction of protein interactions by network embedding
CV Cannistraci, G Alanis-Lobato, T Ravasi
Bioinformatics 29 (13), i199-i209, 2013
1182013
Common neighbours and the local-community-paradigm for topological link prediction in bipartite networks
S Daminelli, JM Thomas, C Durán, CV Cannistraci
New Journal of Physics 17 (11), 113037, 2015
1122015
Differential roles of epigenetic changes and Foxp3 expression in regulatory T cell-specific transcriptional regulation
H Morikawa, N Ohkura, A Vandenbon, M Itoh, S Nagao-Sato, H Kawaji, ...
Proceedings of the National Academy of Sciences 111 (14), 5289-5294, 2014
1042014
Machine learning meets complex networks via coalescent embedding in the hyperbolic space
A Muscoloni, JM Thomas, S Ciucci, G Bianconi, CV Cannistraci
Nature Communications 8 (1), 1, 2017
1032017
Drug target prioritization by perturbed gene expression and network information
Z Isik, C Baldow, CV Cannistraci, M Schroeder
Scientific reports 5 (1), 1-13, 2015
932015
Nonlinear dimension reduction and clustering by Minimum Curvilinearity unfold neuropathic pain and tissue embryological classes
CV Cannistraci, T Ravasi, FM Montevecchi, T Ideker, M Alessio
Bioinformatics 26 (18), i531-i539, 2010
892010
Identification and Predictive Value of Interleukin-6+ Interleukin-10+ and Interleukin-6 Interleukin-10+ Cytokine Patterns in ST-Elevation Acute Myocardial Infarction
E Ammirati, CV Cannistraci, NA Cristell, V Vecchio, AG Palini, P Tornvall, ...
Circulation research 111 (10), 1336-1348, 2012
782012
Gender, contraceptives and individual metabolic predisposition shape a healthy plasma lipidome
S Sales, J Graessler, S Ciucci, R Al-Atrib, T Vihervaara, K Schuhmann, ...
Scientific reports 6 (1), 1-14, 2016
762016
The co‐transcriptome of uropathogenic Escherichia coli‐infected mouse macrophages reveals new insights into host–pathogen interactions
C Mavromatis, NJ Bokil, M Totsika, A Kakkanat, K Schaale, ...
Cellular microbiology 17 (5), 730-746, 2015
582015
Median‐modified Wiener filter provides efficient denoising, preserving spot edge and morphology in 2‐DE image processing
CV Cannistraci, FM Montevecchi, M Alessio
Proteomics 9 (21), 4908-4919, 2009
582009
Effects of proton pump inhibitors on the gastric mucosa-associated microbiota in dyspeptic patients
F Paroni Sterbini, A Palladini, L Masucci, CV Cannistraci, R Pastorino, ...
Applied and environmental microbiology 82 (22), 6633-6644, 2016
562016
Semi-supervised community detection based on non-negative matrix factorization with node popularity
X Liu, W Wang, D He, P Jiao, D Jin, CV Cannistraci
Information Sciences 381, 304-321, 2017
492017
A nonuniform popularity-similarity optimization (nPSO) model to efficiently generate realistic complex networks with communities
A Muscoloni, CV Cannistraci
New Journal of Physics 20 (5), 052002, 2018
472018
Pioneering topological methods for network-based drug–target prediction by exploiting a brain-network self-organization theory
C Durán, S Daminelli, JM Thomas, VJ Haupt, M Schroeder, ...
Briefings in bioinformatics 19 (6), 1183-1202, 2018
462018
GeoChip-based insights into the microbial functional gene repertoire of marine sponges (high microbial abundance, low microbial abundance) and seawater
K Bayer, L Moitinho-Silva, F Brümmer, CV Cannistraci, T Ravasi, ...
FEMS microbiology ecology 90 (3), 832-843, 2014
442014
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