about
Transitions at CpG dinucleotides, geographic clustering of TP53 mutations and food availability patterns in colorectal cancerrepo: an R package for data-centered management of bioinformatic pipelines.Drug repositioning: a machine-learning approach through data integration.Interactive data analysis and clustering of genomic data.Bioinformatic pipelines in Python with Leaf.Drug-set enrichment analysis: a novel tool to investigate drug mode of actionIntegrative genetic, epigenetic and pathological analysis of paraganglioma reveals complex dysregulation of NOTCH signaling.Evaluation of a systems biology approach to identify pharmacological correctors of the mutant CFTR chloride channel.Mantra 2.0: an online collaborative resource for drug mode of action and repurposing by network analysis.An improved combinatorial biclustering algorithmConsensus Clustering in Gene ExpressionData Mining in Cancer Research [Application Notesgene2drug: a Computational Tool for Pathway-based Rational Drug RepositioningAn Adaptive Reference Point Approach to Efficiently Search Large Chemical DatabasesSupporting the Design, Communication and Management of Bioinformatic Protocols through the Leaf ToolA scalable reference-point based algorithm to efficiently search large chemical databasesGlobal optimization, Meta Clustering and consensus clustering for class predictionMetaclustering and Consensus Algorithms for Interactive Data Analysis and ValidationClustering and visualization approaches for human cell cycle gene expression data analysisClustering, Assessment and Validation: an application to gene expression datagep2pep: a Bioconductor package for the creation and analysis of pathway-based expression profiles
P50
Q27342770-F5D44401-1196-4A2C-8622-88D97322E733Q30398727-58ED8F1D-F889-46D8-AF1E-A8A95C56A1D2Q30651571-7C12AE51-FE5E-4A93-8982-E7F4D7719E3CQ31145655-591092C3-081E-434E-AE81-3988E0E811AAQ34779228-07457D5E-19C1-433F-8431-16B82430E13DQ35790801-B0843FBB-855A-4AA8-8460-7A5002C2C170Q37213634-9F2D782D-9C3B-4228-A37D-E80ECB3765E2Q38786788-78CF0E6A-3C26-45E3-96B4-3649C9C0EC27Q53996018-234212CE-1935-4BB5-954E-48B4C7701DA7Q57442968-6D78F550-F692-45E2-BF07-B08139C09160Q59707813-AFD9E7CE-4747-4257-89E5-C4D1072E8D4FQ61851670-74F80A61-FD13-4C4A-AF81-7E2591CA0697Q62044416-62C42E03-56A2-43B8-B2DB-4845C23BA34AQ62044418-8B17B0F6-FB9F-4786-B8F8-4500743A2854Q62044421-7B9BCE26-5ED4-4BEE-B232-14D4AC8935F9Q62044423-DFCC9032-B399-4A49-AA7E-F27C15E43392Q62044425-44E6DC47-2B70-409E-9C63-06C1497C8DB8Q62044427-C04BB204-7CF0-4E96-9D94-33E5BC83D181Q62044429-35B4B7C5-452F-4FA3-AA78-1FA6337DE35AQ62044431-7C0D3D40-5FFF-45D2-80A4-09F71BFDCA81Q90921376-35E32DCF-E3A0-46A7-BA28-187B91366882
P50
description
researcher ORCID: 0000-0002-7782-8506
@en
name
Francesco Napolitano
@ast
Francesco Napolitano
@en
Francesco Napolitano
@es
Francesco Napolitano
@nl
Francesco Napolitano
@sl
type
label
Francesco Napolitano
@ast
Francesco Napolitano
@en
Francesco Napolitano
@es
Francesco Napolitano
@nl
Francesco Napolitano
@sl
prefLabel
Francesco Napolitano
@ast
Francesco Napolitano
@en
Francesco Napolitano
@es
Francesco Napolitano
@nl
Francesco Napolitano
@sl
P1053
Q-1669-2016
P106
P1153
35240554400
P21
P31
P3829
P496
0000-0002-7782-8506