引用次数
引用: 36,907
H-指数: 29
I10-指数 : 54
出版物: 113
Finding mutated subnetworks associated with survival in cancer
Tommy Hansen , Fabio Vandin
arXiv preprint arXiv:1604.02467
8
2016
Silvan: estimating betweenness centralities with progressive sampling and non-uniform rademacher bounds
Leonardo Pellegrina , Fabio Vandin
ACM Transactions on Knowledge Discovery from Data 18 ( 3) 1 -55
7
2023
The impact of global structural information in graph neural networks applications
Davide Buffelli , Fabio Vandin
Data 7 ( 1) 10 -10
7
2022
caSPiTa: mining statistically significant paths in time series data from an unknown network
Andrea Tonon , Fabio Vandin
Knowledge and Information Systems 65 ( 6) 2347 -2374
3
2023
Bounding the family-wise error rate in local causal discovery using rademacher averages
Dario Simionato , Fabio Vandin
Springer Nature Switzerland 255 -271
3
2022
VC-dimension and Rademacher Averages of Subgraphs, with Applications to Graph Mining
Paolo Pellizzoni , Fabio Vandin
2023 IEEE 39th International Conference on Data Engineering (ICDE) 2470 -2482
1
2023
gRosSo: mining statistically robust patterns from a sequence of datasets
Andrea Tonon , Fabio Vandin
Knowledge and Information Systems 64 ( 9) 2329 -2359
1
2022
ALLSTAR: Inference of Reli A ble Causa L Ru L es between S omatic Mu TA tions and Cance R Phenotypes
Dario Simionato , Antonio Collesei , Federica Miglietta , Fabio Vandin
Bioinformatics btae449 -btae449
2024
Scalable Rule Lists Learning with Sampling
Leonardo Pellegrina , Fabio Vandin
arXiv preprint arXiv:2406.12803
2024
Efficient Discovery of Significant Patterns with Few-Shot Resampling
Leonardo Pellegrina , Fabio Vandin
arXiv preprint arXiv:2406.11803
2024
Scalable Temporal Motif Densest Subnetwork Discovery
Ilie Sarpe , Fabio Vandin , Aristides Gionis
arXiv preprint arXiv:2406.10608
2024
Technical perspective: Evaluating sampled metrics is challenging
Fabio Vandin
Communications of the ACM 65 ( 7) 74 -74
2022
Are Graph Convolutional Networks Fully Exploiting the Graph Structure?
Davide Buffelli , Fabio Vandin
2020
2013
Controlling False Positives in Frequent Itemsets Mining through the VC-Dimension
Matteo Riondato , Fabio Vandin
arXiv preprint arXiv:1301.1218
2013
Finding Driver Pathways in Cancer: Models and
Fabio Vandin , Eli Upfal , Benjamin J Raphael
Algorithms in Bioinformatics: 11th International Workshop, WABI 2011, Saarbrücken, Germany, September 5-7, 2011, Proceedings 6833 314 -314
2011
Network-based approaches elucidate differences within APOBEC and clock-like signatures in breast cancer.
Yoo-Ah Kim , Damian Wojtowicz , Rebecca Sarto Basso , Itay Sason
Genome Medicine 12 ( 1) 52
4
2020
PRESENZE RIF. PA
Luisa PA BARZON , Laura PC BAZZANELLA , Bruno PC BIANCHINI , Maurizio PA CANDILERA
Finding Mutated Subnetworks Associated with Survival Time in Cancer
F. Vandin. T. Hansen
20th Annual International Conference on Research in Computational Molecular Biology (RECOMB)
2016