| The concordance between RNA-seq and microarray data depends on chemical treatment and transcript abundance C Wang, B Gong, PR Bushel, J Thierry-Mieg, D Thierry-Mieg, J Xu, ... Nature biotechnology 32 (9), 926-932, 2014 | 470 | 2014 |
| Minerva and minepy: a C engine for the MINE suite and its R, Python and MATLAB wrappers D Albanese, M Filosi, R Visintainer, S Riccadonna, G Jurman, ... Bioinformatics 29 (3), 407-408, 2013 | 189 | 2013 |
| Biomarkers for response in major depression: comparing paroxetine and venlafaxine from two randomised placebo-controlled clinical studies L Carboni, DJ McCarthy, B Delafont, M Filosi, E Ivanchenko, E Ratti, ... Translational psychiatry 9 (1), 182, 2019 | 56 | 2019 |
| The HIM glocal metric and kernel for network comparison and classification G Jurman, R Visintainer, M Filosi, S Riccadonna, C Furlanello 2015 IEEE international conference on data science and advanced analytics …, 2015 | 50 | 2015 |
| The person-to-person transmission landscape of the gut and oral microbiomes M Valles-Colomer, A Blanco-Míguez, P Manghi, F Asnicar, L Dubois, ... Nature, 1-11, 2023 | 30 | 2023 |
| Graph metrics as summary statistics for Approximate Bayesian Computation with application to network model parameter estimation D Fay, AW Moore, K Brown, M Filosi, G Jurman Journal of Complex Networks 3 (1), 52-83, 2015 | 20 | 2015 |
| Stability indicators in network reconstruction M Filosi, R Visintainer, S Riccadonna, G Jurman, C Furlanello PloS one 9 (2), e89815, 2014 | 20 | 2014 |
| DTW-MIC coexpression networks from time-course data S Riccadonna, G Jurman, R Visintainer, M Filosi, C Furlanello Plos one 11 (3), e0152648, 2016 | 17* | 2016 |
| Transcriptome signatures from discordant sibling pairs reveal changes in peripheral blood immune cell composition in Autism Spectrum Disorder M Filosi, T Kam-Thong, L Essioux, P Muglia, E Trabetti, W Spooren, ... Translational Psychiatry 10 (1), 106, 2020 | 16 | 2020 |
| A machine learning pipeline for discriminant pathways identification A Barla, G Jurman, R Visintainer, M Squillario, M Filosi, S Riccadonna, ... Computational Intelligence Methods for Bioinformatics and Biostatistics: 8th …, 2012 | 10 | 2012 |
| The Italian autism network (ITAN): a resource for molecular genetics and biomarker investigations P Muglia, M Filosi, L Da Ros, T Kam-Thong, F Nardocci, E Trabetti, E Ratti, ... BMC psychiatry 18, 1-9, 2018 | 9 | 2018 |
| A glocal distance for network comparison G Jurman, R Visintainer, S Riccadonna, M Filosi, C Furlanello arXiv preprint arXiv:1201.2931, 2012 | 9 | 2012 |
| cmine, minerva & minepy: a C engine for the MINE suite and its R and Python wrappers D Albanese, M Filosi, R Visintainer, S Riccadonna, G Jurman, ... stat 1050, 21, 2012 | 8 | 2012 |
| A machine learning pipeline for identification of discriminant pathways A Barla, G Jurman, R Visintainer, M Squillario, M Filosi, S Riccadonna, ... Springer Handbook of Bio-/Neuroinformatics, 951-968, 2014 | 5 | 2014 |
| Stability indicators in network reconstruction G Jurman, M Filosi, R Visintainer, S Riccadonna, C Furlanello arXiv preprint arXiv:1209.1654, 2012 | 5 | 2012 |
| Differential network analysis and graph classification: a glocal approach G Jurman, M Filosi, S Riccadonna, R Visintainer, C Furlanello Dynamics of Mathematical Models in Biology: Bringing Mathematics to Life, 17-30, 2016 | 3 | 2016 |
| Natural SINEUP RNAs in autism spectrum disorders: RAB11B-AS1 dysregulation in a neuronal CHD8 suppression model leads to RAB11B protein increase G Zarantonello, M Arnoldi, M Filosi, T Tebaldi, G Spirito, A Barbieri, ... Frontiers in Genetics, 2208, 2021 | 1 | 2021 |
| Transcriptome analysis of the zebrafish atoh7−/− Mutant, lakritz, highlights Atoh7‐dependent genetic networks with potential implications for human eye diseases G Covello, FJ Rossello, M Filosi, F Gajardo, AL Duchemin, BF Tremonti, ... FASEB BioAdvances 2 (7), 434, 2020 | 1 | 2020 |
| Blood-based Autism Spectrum Disorder signatures from the Italian Autism Network collection M Filosi, B Mueller-Myhsok, P Muglia, E Domenici European Neuropsychopharmacology 29, S912, 2019 | 1 | 2019 |
| Stability in GRN inference G Jurman, M Filosi, R Visintainer, S Riccadonna, C Furlanello Gene Regulatory Networks: Methods and Protocols, 323-346, 2019 | 1 | 2019 |
