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Vandin Lab's Projects

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Inference of ReliAble CausaL RuLes between Somatic MuTAtions and CanceR Phenotypes

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Code for paper A. Tonon, F. Vandin. CASPITA: Mining Statistically Significant Paths in Time Series Data from an Unknown Network, IEEE ICDM 2021.

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gRosSo: Mining Statistically Robust Patterns from a Sequence of Datasets

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Finding Significant Evolutionary Trajectories in Cancer Phylogenies

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Source code for NoMAS (Hansen, Vandin. RECOMB 2016)

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Repository for CIKM 2021 paper (Sarpe and Vandin)

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Code for PRESTO (published at SDM2021)

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Code for "Permutation Strategies for Mining Significant Sequential Patterns" (Tonon and Vandin, ICDM 2019)

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Repository for ECML-PKDD2022 paper "Bounding the Family-Wise Error Rate in Local Causal Discovery using Rademacher Averages" authors D. Simionato, F. Vandin

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Sampling Algorithm for K-mers Approximation (Pellegrina, Pizzi, Vandin)

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SamPling Reads algorIthm to eStimate frequent k-merS

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Significant Pattern Mining with Unconditional Testing (Pellegrina, Riondato, Vandin, KDD19).

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Repository for paper "VC-dimension and Rademacher Averages of Subgraphs, with Applications to Graph Mining" (Pellizzoni and Vandin, ICDE 2023)

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Source code for TopKWY (Pellegrina, Vandin, KDD 2018)

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Source for UNCOVER (Sarto Basso, Hochbaum, Vandin, RECOMB 2018)

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