VANDIN, FABIO
 Distribuzione geografica
Continente #
NA - Nord America 5.256
EU - Europa 542
AS - Asia 490
OC - Oceania 7
AF - Africa 1
Totale 6.296
Nazione #
US - Stati Uniti d'America 5.251
CN - Cina 242
SG - Singapore 203
IT - Italia 198
FI - Finlandia 86
SE - Svezia 81
FR - Francia 59
GB - Regno Unito 59
DE - Germania 18
VN - Vietnam 12
JP - Giappone 10
UA - Ucraina 10
IE - Irlanda 9
IN - India 8
AU - Australia 7
TW - Taiwan 7
CA - Canada 5
BE - Belgio 4
HK - Hong Kong 4
RU - Federazione Russa 4
GR - Grecia 3
NL - Olanda 3
CY - Cipro 2
PT - Portogallo 2
RS - Serbia 2
BA - Bosnia-Erzegovina 1
CH - Svizzera 1
DK - Danimarca 1
IQ - Iraq 1
KR - Corea 1
SI - Slovenia 1
ZA - Sudafrica 1
Totale 6.296
Città #
Fairfield 1.003
Woodbridge 582
Houston 480
Ashburn 419
Seattle 394
Cambridge 349
Ann Arbor 346
Wilmington 334
Chandler 179
Singapore 165
Boardman 140
Santa Clara 137
San Diego 91
Princeton 87
Medford 83
Padova 61
Des Moines 55
Roxbury 55
Beijing 46
Hangzhou 42
Helsinki 36
Jacksonville 33
Nanjing 28
Milan 26
Nanchang 18
London 15
Hebei 13
Dong Ket 12
New York 10
Dublin 9
Kilburn 9
Silea 9
Waltham 9
Taipei 7
Cagliari 6
Shenyang 6
Treviso 6
Borås 5
Changsha 5
Chicago 5
Tianjin 5
Venice 5
Jiaxing 4
Jinan 4
Norwalk 4
Prescot 4
Stockholm 4
Frankfurt am Main 3
Kharkiv 3
Los Angeles 3
New Bedfont 3
Ottawa 3
Polverara 3
Sant'Elia Fiumerapido 3
Sydney 3
Taizhou 3
Zhengzhou 3
Alessandria 2
Belgrade 2
Castel 2
Dongguan 2
Fiera di Primiero 2
Foshan 2
Hounslow 2
Inveruno 2
Lanzhou 2
Lappeenranta 2
Nicosia 2
Ogden 2
Orange 2
Paris 2
Porcia 2
Rockville 2
Rome 2
San Fior 2
San Pietro Viminario 2
Santa Maria di Sala 2
Schio 2
Shenzhen 2
Susegana 2
Torreglia 2
Vicenza 2
Washington 2
Acton 1
Adelaide 1
Agordo 1
Atlanta 1
Baghdad 1
Bassano del Grappa 1
Brampton 1
Brendola 1
Central District 1
Changchun 1
Cheyenne 1
College Station 1
Columbia 1
Conegliano 1
Corato 1
Deakin 1
Fairfax 1
Totale 5.444
Nome #
Enriched power of disease-concordant twin-case-only design in detecting interactions in genome-wide association studies 134
NoMAS: A Computational Approach to Find Mutated Subnetworks Associated With Survival in Genome-Wide Cancer Studies 118
CoExpresso: Assess the quantitative behavior of protein complexes in human cells 115
Integrated genomic analyses of ovarian carcinoma 113
Fast Approximation of Frequent k-mers and Applications to Metagenomics 113
An Efficient Rigorous Approach for Identifying Statistically Significant Frequent Itemsets 112
Space-efficient parallel algorithms for combinatorial search problems 109
Pan-cancer network analysis identifies combinations of rare somatic mutations across pathways and protein complexes 108
Mining top-K frequent itemsets through progressive sampling 105
Ballast: A ball-based algorithm for structural motifs 103
Space-Efficient Parallel Algorithms for Combinatorial Search Problems 100
An Efficient Rigorous Approach for Identifying Statistically Significant Frequent Itemsets 99
Differentially mutated subnetworks discovery 99
Genomic and epigenomic landscapes of adult de novo acute myeloid leukemia 98
MiSoSouP: Mining Interesting Subgroups with Sampling and Pseudodimension 98
Efficient Mining of the Most Significant Patterns with Permutation Testing 96
Accurate Computation of Survival Statistics in Genome-Wide Studies 95
The second decade of the international conference on research in computational molecular biology (RECOMB) 94
MADMX: A Strategy for Maximal Dense Motif Extraction 93
Identifying driver mutations in sequenced cancer genomes: Computational approaches to enable precision medicine 93
Efficient Mining of the Most Significant Patterns with Permutation Testing 91
Efficient Incremental Mining of Top-K Frequent Closed Itemsets 89
CoMEt: A statistical approach to identify combinations of mutually exclusive alterations in cancer 89
Discovery of mutated subnetworks associated with clinical data in cancer 89
Algorithms for detecting significantly mutated pathways in cancer 88
Algorithms for detecting significantly mutated pathways in cancer 87
Genome-wide survival analysis of somatic mutations in cancer 87
Mutational landscape and significance across 12 major cancer types 86
Simultaneous Inference of Cancer Pathways and Tumor Progression from Cross-Sectional Mutation Data 86
The mutational landscape of lethal castration-resistant prostate cancer 86
Fast Approximation of Frequent k-mers and Applications to Metagenomics 86
Clustering Uncertain Graphs 84
CoMET: A statistical approach to identify combinations of mutually exclusive alterations in cancer 83
De novo discovery of mutated driver pathways in cancer 83
Disease‐Concordant Twins Empower Genetic Association Studies 83
The cancer genome atlas pan-cancer analysis project 82
Spumante: Significant pattern mining with unconditional testing 82
Finding driver pathways in cancer: Models and algorithms 80
Efficient detection of differentially methylated regions using DiMmeR 80
Mining sequential patterns with VC-dimension and rademacher complexity 80
MADMX: A Novel Strategy for Maximal Dense Motif Extraction 79
Fast Approximation of Frequent k-Mers and Applications to Metagenomics 79
De novo discovery of mutated driver pathways in cancer 78
Integrated Genomic Characterization of Papillary Thyroid Carcinoma 78
Algorithms and genome sequencing: Identifying driver pathways in cancer 76
Simultaneous inference of cancer pathways and tumor progression from cross-sectional mutation data 75
Ballast: A ball-based algorithm for structural motifs 73
On the sample complexity of cancer pathways identification 73
Differentially Methylated Genomic Regions in Birth-Weight Discordant Twin Pairs 71
Comprehensivemolecular characterization of clear cell renal cell carcinoma 71
De novo pathway-based biomarker identification 70
Algorithms on evolving graphs 69
MiSoSouP: Mining Interesting Subgroups with Sampling and Pseudodimension 68
Gene selection for optimal prediction of cell position in tissues from single-cell transcriptomics data 66
On the Sample Complexity of Cancer Pathways Identification 65
An Efficient Branch and Cut Algorithm to Find Frequently Mutated Subnetworks in Cancer 64
HIT'nDRIVE: patient-specific multidriver gene prioritization for precision oncology 63
Finding the True Frequent Itemsets 60
Finding driver pathways in cancer: Models and algorithms 60
Principles of Systems Biology, No. 31 58
Permutation strategies for mining significant sequential patterns 58
Multiplatform analysis of 12 cancer types reveals molecular classification within and across tissues of origin 55
Computational methods for characterizing cancer mutational heterogeneity 55
Computational pan-genomics: status, promises and challenges 54
Efficient algorithms to discover alterations with complementary functional association in cancer 52
Differentially mutated subnetworks discovery 52
Comparison of microbiome samples: methods and computational challenges 52
Network-based approaches elucidate differences within APOBEC and clock-like signatures in breast cancer 51
MCRapper: Monte-Carlo Rademacher Averages for Poset Families and Approximate Pattern Mining 50
Efficient mining of the most significant patterns with permutation testing 48
Efficient Algorithms to Discover Alterations with Complementary Functional Association in Cancer 44
Mining of Significant Patterns: Theory and Practice 41
Scalable Distributed Approximation of Internal Measures for Clustering Evaluation 40
Jllumina - A comprehensive Java-based API for statistical Illumina Infinium HumanMethylation450 and MethylationEPIC data processing 37
Research in Computational Molecular Biology - 19th Annual International Conference, RECOMB 2015, Proceedings 36
PRESTO: Simple and Scalable Sampling Techniques for the Rigorous Approximation of Temporal Motif Counts 36
MiSoSouP 35
Attention-Based Deep Learning Framework for Human Activity Recognition with User Adaptation 35
CASPITA: Mining Statistically Significant Paths in Time Series Data from an Unknown Network 30
GRosSo: Mining statistically robust patterns from a sequence of datasets 29
Reconstructing Hidden Permutations Using the Average-Precision (AP) Correlation Statistic 27
Identifying Drug Sensitivity Subnetworks with NETPHIX 27
The Impact of Global Structural Information in Graph Neural Networks Applications 27
Finding mutated subnetworks associated with survival in cancer 25
Bounding the Family-Wise Error Rate in Local Causal Discovery using Rademacher Averages 24
SPRISS: Approximating Frequent K-mers by Sampling Reads, and Applications 24
SizeShiftReg: a Regularization Method for Improving Size-Generalization in Graph Neural Networks 23
OdeN: Simultaneous Approximation of Multiple Motif Counts in Large Temporal Networks 21
Graph Representation Learning for Multi-Task Settings: a Meta-Learning Approach 20
Discovering significant evolutionary trajectories in cancer phylogenies 19
Bounding the Family-Wise Error Rate in Local Causal Discovery Using Rademacher Averages (Extended Abstract) 18
caSPiTa: mining statistically significant paths in time series data from an unknown network 18
SILVAN: Estimating Betweenness Centralities with Progressive Sampling and Non-uniform Rademacher Bounds 16
gRosSo: mining statistically robust patterns from a sequence of datasets 15
MCRapper: Monte-Carlo Rademacher Averages for Poset Families and Approximate Pattern Mining 12
VC-dimension and Rademacher Averages of Subgraphs, with Applications to Graph Mining 11
Technical Perspective - Evaluating Sampled Metrics Is Challenging 7
Efficient Discovery of Significant Patterns with Few-Shot Resampling 7
Hypothesis Testing and Statistically-sound Pattern Mining 6
Scalable Rule Lists Learning with Sampling 6
Totale 6.435
Categoria #
all - tutte 26.289
article - articoli 15.526
book - libri 0
conference - conferenze 0
curatela - curatele 0
other - altro 0
patent - brevetti 0
selected - selezionate 0
volume - volumi 0
Totale 41.815


Totale Lug Ago Sett Ott Nov Dic Gen Feb Mar Apr Mag Giu
2019/2020932 0 0 0 0 145 99 119 154 187 118 70 40
2020/2021864 45 91 91 102 32 44 23 90 128 78 95 45
2021/20221.253 64 102 162 100 56 83 52 196 55 21 103 259
2022/2023530 137 8 8 39 98 59 5 38 87 5 31 15
2023/2024413 21 48 77 45 21 28 21 18 12 19 64 39
2024/2025524 8 132 70 86 228 0 0 0 0 0 0 0
Totale 6.437