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150 results on '"Vandin, Fabio"'

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6. ALLSTAR: inference of reliAble causaL ruLes between Somatic muTAtions and canceR phenotypes.

8. SILVAN: Estimating Betweenness Centralities with Progressive Sampling and Non-uniform Rademacher Bounds.

11. Jllumina - A comprehensive Java-based API for statistical Illumina Infinium HumanMethylation450 and Infinium MethylationEPIC BeadChip data processing

12. Integrated Genomic Characterization of Papillary Thyroid Carcinoma

13. Computational pan-genomics: status, promises and challenges

15. SizeShiftReg: a Regularization Method for Improving Size-Generalization in Graph Neural Networks

18. MCRapper: Monte-Carlo Rademacher Averages for Poset Families and Approximate Pattern Mining.

19. Mutational landscape and significance across 12 major cancer types

20. The mutational landscape of lethal castration-resistant prostate cancer

22. SPRISS: Approximating Frequent $k$-mers by Sampling Reads, and Applications

23. Discovering significant evolutionary trajectories in cancer phylogenies.

24. Gene selection for optimal prediction of cell position in tissues from single-cell transcriptomics data

25. Comprehensive molecular characterization of clear cell renal cell carcinoma

26. SPRISS: approximating frequent k-mers by sampling reads, and applications.

28. Principles of Systems Biology, No. 31

29. Finding driver pathways in cancer: models and algorithms

30. Attention-Based Deep Learning Framework for Human Activity Recognition With User Adaptation.

31. MiSoSouP

32. Comparison of microbiome samples: methods and computational challenges.

33. MiSoSouP: Mining Interesting Subgroups with Sampling and Pseudodimension.

35. An Efficient Rigorous Approach for Identifying Statistically Significant Frequent Itemsets.

37. Finding mutated subnetworks associated with survival in cancer

38. Erratum to:CoMEt: A statistical approach to identify combinations of mutually exclusive alterations in cancer [Genome Biol., 16, (2015), (160)]

39. Efficient algorithms to discover alterations with complementary functional association in cancer.

40. NoMAS: A Computational Approach to Find Mutated Subnetworks Associated With Survival in Genome-Wide Cancer Studies.

42. Multiplatform analysis of 12 cancer types reveals molecular classification within and across tissues of origin

45. Computational Methods for Characterizing Cancer Mutational Heterogeneity.

49. On the Sample Complexity of Cancer Pathways Identification.