7 citations · 7 across the 3 of their papers we have counts for
4 papers
SPRISS: Approximating Frequent -mers by Sampling Reads, and Applications
Diego Santoro, Leonardo Pellegrina, Fabio Vandin
The extraction of -mers is a fundamental component in many complex analyses of large next-generation sequencing datasets, including reads classification in genomics and the char…
Sharper convergence bounds of Monte Carlo Rademacher Averages through Self-Bounding functions
Leonardo Pellegrina
We derive sharper probabilistic concentration bounds for the Monte Carlo Empirical Rademacher Averages (MCERA), which are proved through recent results on the concentration of self…
MCRapper: Monte-Carlo Rademacher Averages for Poset Families and Approximate Pattern Mining
Leonardo Pellegrina, Cyrus Cousins, Fabio Vandin +1
We present MCRapper, an algorithm for efficient computation of Monte-Carlo Empirical Rademacher Averages (MCERA) for families of functions exhibiting poset (e.g., lattice) structur…
Fast Approximation of Frequent -mers and Applications to Metagenomics
Leonardo Pellegrina, Cinzia Pizzi, Fabio Vandin
Estimating the abundances of all -mers in a set of biological sequences is a fundamental and challenging problem with many applications in biological analysis. While several met…