GRAUDENZI, ALEX
 Distribuzione geografica
Continente #
NA - Nord America 11.515
EU - Europa 5.989
AS - Asia 1.554
SA - Sud America 13
Continente sconosciuto - Info sul continente non disponibili 7
AF - Africa 6
OC - Oceania 4
Totale 19.088
Nazione #
US - Stati Uniti d'America 11.375
DE - Germania 2.149
IT - Italia 1.640
CN - Cina 608
IE - Irlanda 578
SE - Svezia 501
SG - Singapore 453
RU - Federazione Russa 317
UA - Ucraina 212
VN - Vietnam 181
HK - Hong Kong 149
GB - Regno Unito 144
CA - Canada 137
DK - Danimarca 125
FI - Finlandia 82
FR - Francia 58
IN - India 54
CH - Svizzera 53
NL - Olanda 37
TR - Turchia 35
BE - Belgio 30
ID - Indonesia 25
IR - Iran 20
JP - Giappone 13
PL - Polonia 11
AT - Austria 9
ES - Italia 9
CZ - Repubblica Ceca 7
BR - Brasile 6
CL - Cile 5
EU - Europa 5
HU - Ungheria 5
KR - Corea 5
GR - Grecia 4
LU - Lussemburgo 3
MX - Messico 3
PH - Filippine 3
AU - Australia 2
EC - Ecuador 2
MK - Macedonia 2
NZ - Nuova Zelanda 2
RO - Romania 2
SC - Seychelles 2
TH - Thailandia 2
A1 - Anonimo 1
A2 - ???statistics.table.value.countryCode.A2??? 1
BA - Bosnia-Erzegovina 1
BD - Bangladesh 1
BG - Bulgaria 1
DZ - Algeria 1
EE - Estonia 1
EG - Egitto 1
GN - Guinea 1
IL - Israele 1
IS - Islanda 1
KW - Kuwait 1
KZ - Kazakistan 1
LA - Repubblica Popolare Democratica del Laos 1
LI - Liechtenstein 1
LT - Lituania 1
LV - Lettonia 1
MA - Marocco 1
MD - Moldavia 1
NO - Norvegia 1
SA - Arabia Saudita 1
SI - Slovenia 1
SK - Slovacchia (Repubblica Slovacca) 1
Totale 19.088
Città #
Ann Arbor 5.712
Frankfurt am Main 2.041
Fairfield 672
Chandler 576
Dublin 567
Woodbridge 549
Wilmington 536
Milan 525
Ashburn 496
Singapore 352
Houston 336
Seattle 272
New York 217
Cambridge 212
Dearborn 203
Jacksonville 200
Princeton 161
Hong Kong 143
Dong Ket 128
Boardman 122
Nanjing 118
Assago 113
Shanghai 112
Toronto 71
Santa Clara 65
Lawrence 64
Beijing 58
San Diego 57
Guangzhou 45
Altamura 41
Sacramento 40
Romola 37
Lachine 35
Nanchang 35
Andover 34
Rome 28
Helsinki 27
Jinan 27
Tianjin 26
Brussels 25
Jakarta 25
Sesto San Giovanni 23
Monza 22
Shenyang 22
Fremont 21
Ottawa 21
Zhengzhou 21
Hebei 20
Dallas 15
Falls Church 14
Hangzhou 14
Lappeenranta 14
Leiden 14
Los Angeles 14
Melzo 14
Ningbo 14
Turin 14
Changsha 13
Washington 13
Ardea 12
Bologna 12
Lugano 12
Cernobbio 11
Taizhou 11
Florence 10
Jiaxing 10
Kunming 10
Genoa 9
Lissone 9
London 9
Mugnano Di Napoli 9
Munich 9
Norwalk 9
Como 8
Corbetta 8
Mountain View 8
Napoli 8
Parma 8
Segrate 8
Trieste 8
Triuggio 8
Breganzona 7
Carate Brianza 7
Duncan 7
Phoenix 7
Pregassona 7
Tokyo 7
Valenza 7
Arese 6
Balerna 6
Desio 6
Kiev 6
Kocaeli 6
Leawood 6
Redmond 6
Torino 6
Vienna 6
Amsterdam 5
Atlanta 5
Bari 5
Totale 15.730
Nome #
MaREA4Galaxy: metabolic reaction enrichment analysis and visualization of RNA-seq data within Galaxy 503
Synchronization effects in a metabolism-driven model of multi-cellular system 492
Integration of single-cell RNA-seq data into population models to characterize cancer metabolism 475
Integration of transcriptomic data and metabolic networks in cancer samples reveals highly significant prognostic power 466
Longitudinal cancer evolution from single cells 447
null 441
FBCA, A multiscale modeling framework combining cellular automata and flux balance analysis 437
Personalized therapy design for liquid tumors via optimal control theory 434
The Influence of Nutrients Diffusion on a Metabolism-driven Model of a Multi-cellular System 434
Learning mutational graphs of individual tumour evolution from single-cell and multi-region sequencing data 404
Characterization of intra-host SARS-CoV-2 variants improves phylogenomic reconstruction and may reveal functionally convergent mutations 394
A review of computational strategies for denoising and imputation of single-cell transcriptomic data 381
TRONCO: An R package for the inference of cancer progression models from heterogeneous genomic data 365
Modeling cumulative biological phenomena with Suppes-Bayes causal networks 361
Integration of single-cell RNA-sequencing data into flux balance cellular automata 361
CAPRI: Efficient Inference of Cancer Progression Models from Cross-sectional Data 360
Design of the TRONCO bioconductor package for TRanslational ONCOlogy 348
VERSO: a comprehensive framework for the inference of robust phylogenies and the quantification of intra-host genomic diversity of viral samples 344
Investigating the Compositional Structure Of Deep Neural Networks 342
Efficient computational strategies to learn the structure of probabilistic graphical models of cumulative phenomena 340
Algorithmic methods to infer the evolutionary trajectories in cancer progression 338
Structural Learning of Probabilistic Graphical Models of Cumulative Phenomena 326
SpidermiR: An R/bioconductor package for integrative analysis with miRNA data 325
cyTRON and cyTRON/JS: two Cytoscape-based applications for the inference of cancer evolution models 319
VERSO:A COMPREHENSIVE FRAMEWORK FOR THE INFERENCE OF ROBUST PHYLOGENIES AND THE QUANTIFICATION OF INTRA-HOST GENOMIC DIVERSITY OF VIRAL SAMPLES 311
CABeRNET: A Cytoscape app for augmented Boolean models of gene regulatory NETworks 308
An Optimal Control Framework for the Automated Design of Personalized Cancer Treatments 305
A closed-loop optimization framework for personalized cancer therapy design 303
Pathway-based classification of breast cancer subtypes 299
A Computational Framework To Infer The Order Of Accumulating Mutations In Individual Tumors 283
Cognac: A chaste plugin for the multiscale simulation of gene regulatory networks driving the spatial dynamics of tissues and cancer 282
Understanding deep learning with activation pattern diagrams 282
Ordering cancer mutational profiles of cross-sectional copy number alterations 278
On the use of topological features of metabolic networks for the classification of cancer samples 265
A computational framework to infer the order of accumulating mutations in individual tumors 247
Modeling Spatio-Temporal Dynamics of Metabolic Networks with Cellular Automata and Constraint-Based Methods 236
LACE: Inference of cancer evolution models from longitudinal single-cell sequencing data 234
VirMutSig: Discovery and assignment of viral mutational signatures from sequencing data 218
Variant calling from scRNA-seq data allows the assessment of cellular identity in patient-derived cell lines 218
Combining multi-target regression deep neural networks and kinetic modeling to predict relative fluxes in reaction systems 205
Inferring Tree Causal Models of Cancer Progression with Probability Raising 203
PMCE: efficient inference of expressive models of cancer evolution with high prognostic power 193
Recent developments in research on catalytic reaction networks 185
A model of protocell based on the introduction of a semi-permeable membrane in a stochastic model of catalytic reaction networks 183
Distributed delays in a hybrid model of tumor-Immune system interplay 182
Large-Scale Analysis of SARS-CoV-2 Synonymous Mutations Reveals the Adaptation to the Human Codon Usage During the Virus Evolution 182
GeStoDifferent: A Cytoscape plugin for the generation and the identification of gene regulatory networks describing a stochastic cell differentiation process 180
Analysis of the spatial and dynamical properties of a multiscale model of intestinal crypts 180
Investigating the Role of Network Topology and Dynamical Regimes on the Dynamics of a Cell Differentiation Model 178
OG-SPACE: Optimized Stochastic Simulation of Spatial Models of Cancer Evolution 173
On RAF Sets and Autocatalytic Cycles in Random Reaction Networks 161
Mutational signatures and heterogeneous host response revealed via large-scale characterization of SARS-CoV-2 genomic diversity 153
Preface - Proc. Wivace 2013 - Italian Workshop on Artificial Life and Evolutionary Computation 145
Effects of delayed immune-response in tumor immune-system interplay 142
Dynamical properties of a Boolean model of gene regulatory network with memory 138
Investigating the relation between stochastic differentiation and homeostasis in intestinal crypts via multiscale modeling 137
A stochastic model of the emergence of autocatalytic cycles 135
How critical random boolean networks may be affected by the interaction with others 133
Chemotherapy after PD-1 inhibitors in relapsed/refractory Hodgkin lymphoma: Outcomes and clonal evolution dynamics 132
Inferring causal models of cancer progression with a shrinkage estimator and probability raising 131
Ordering copy number alteration data to analyze colorectal cancer progression 131
A stochastic model of autocatalytic reaction networks 131
Parameter sensitivity analysis of stochastic models: Application to catalytic reaction networks 128
Growth and division in a dynamic protocell model 127
The role of backward reactions in a stochastic model of catalytic reaction networks 121
The diffusion of perturbations in a model of coupled random boolean networks 121
Natural Computing: Preface 119
A review of spatial computational models for multi-cellular systems, with regard to intestinal crypts and colorectal cancer development 118
A multiscale model of intestinal crypts dynamics 118
A stochastic model of catalytic reaction networks in protocells 110
The simulation of gene knock-out in scale-free random boolean models of genetic networks 106
The detection of dynamical organization in cancer evolution models 106
Investigating Cell Criticality 104
The influence of different kinetic rates on the dynamics of a simple model of catalytic reaction network 102
J-SPACE: a Julia package for the simulation of spatial models of cancer evolution and of sequencing experiments 100
Why a simple model of genetic regulatory networks describes the distribution of avalanches in gene expression data 99
Robustness analysis of a boolean model of gene regulatory network with memory 94
The influence of the residence time on the dynamics of catalytic reaction networks of molecules 90
LACE 2.0: an interactive R tool for the inference and visualization of longitudinal cancer evolution 89
Early detection and improved genomic surveillance of SARS-CoV-2 variants from deep sequencing data 89
SparseSignatures: An R package using LASSO-regularized non-negative matrix factorization to identify mutational signatures from human tumor samples 88
Methods, computer-accessible medium and systems to model disease progression using biomedical data from multiple patients 87
The role of energy in a stochastic model of the emergence of autocatalytic sets 86
Characterization of SARS-CoV-2 Mutational Signatures from 1.5+ Million Raw Sequencing Samples 81
Unity is strength: Improving the detection of adversarial examples with ensemble approaches 79
Comunicazione cellulare, livelli e strutture ordinate 67
Evolutionary signatures of human cancers revealed via genomic analysis of over 35,000 patients 63
Characterization of cancer subtypes associated with clinical outcomes by multi-omics integrative clustering 62
Exploring the Solution Space of Cancer Evolution Inference Frameworks for Single-Cell Sequencing Data 47
A Bayesian method to infer copy number clones from single-cell RNA and ATAC sequencing 32
MaREA: Metabolic feature extraction, enrichment and visualization of RNAseq data 13
Totale 19.865
Categoria #
all - tutte 58.547
article - articoli 0
book - libri 0
conference - conferenze 0
curatela - curatele 0
other - altro 0
patent - brevetti 0
selected - selezionate 0
volume - volumi 0
Totale 58.547


Totale Lug Ago Sett Ott Nov Dic Gen Feb Mar Apr Mag Giu
2019/20201.950 0 0 0 206 193 272 356 247 239 193 158 86
2020/20213.338 72 135 216 256 218 239 240 282 402 406 373 499
2021/20224.678 404 360 394 348 296 406 502 429 328 322 444 445
2022/20234.001 685 984 559 559 320 314 67 145 183 82 69 34
2023/20242.107 73 113 175 75 206 514 446 92 105 44 48 216
2024/20251.100 189 320 391 200 0 0 0 0 0 0 0 0
Totale 19.865