| A Reassessment of IgM Memory Subsets in Humans RCA Bagnara D, Squillario M, Kipling D, Mora T, Walczak AM, Da Silva L ... The Journal of Immunology 195 (8), 3716-24, 2015 | 112* | 2015 |
| New miRNA signature heralds human NK cell subsets at different maturation steps: involvement of miR-146a-5p in the regulation of KIR expression S Pesce, M Squillario, M Greppi, F Loiacono, L Moretta, A Moretta, ... Frontiers in immunology 9, 2360, 2018 | 45 | 2018 |
| Effect of size and heterogeneity of samples on biomarker discovery: synthetic and real data assessment B Di Camillo, T Sanavia, M Martini, G Jurman, F Sambo, A Barla, ... PloS one 7 (3), e32200, 2012 | 31 | 2012 |
| Gut microbiota in T1DM-onset pediatric patients: machine-learning algorithms to classify microorganisms as disease linked R Biassoni, E Di Marco, M Squillario, A Barla, G Piccolo, E Ugolotti, ... The Journal of Clinical Endocrinology & Metabolism 105 (9), e3114-e3126, 2020 | 30 | 2020 |
| Regenerative medicine for the treatment of Teno-desmic injuries of the equine. A series of 150 horses treated with platelet-derived growth factors. SP Scala M, Lenarduzzi S, Spagnolo F, Trapasso M, Ottonello C, Muraglia A ... In vivo 28 (6), 1119-23, 2014 | 22 | 2014 |
| Different features of tumor-associated NK cells in patients with low-grade or high-grade peritoneal carcinomatosis S Pesce, V Belgrano, M Greppi, S Carlomagno, M Squillario, A Barla, ... Frontiers in Immunology 10, 1963, 2019 | 20 | 2019 |
| Tracing CLL-biased stereotyped immunoglobulin gene rearrangements in normal B cell subsets using a high-throughput immunogenetic approach M Colombo, D Bagnara, D Reverberi, S Matis, M Cardillo, R Massara, ... Molecular Medicine 26 (1), 1-10, 2020 | 18 | 2020 |
| Conversion Discriminative Analysis on Mild Cognitive Impairment Using Multiple Cortical Features from MR Images CG Guo S, Lai C, Wu C, ADN Initiative Frontiers in Aging Neuroscience 9, 2017 | 18 | 2017 |
| A computational procedure for functional characterization of potential marker genes from molecular data: Alzheimer's as a case study M Squillario, A Barla BMC medical genomics 4, 1-16, 2011 | 15 | 2011 |
| Knowledge Driven Variable Selection (KDVS)–a new approach to enrichment analysis of gene signatures obtained from high–throughput data G Zycinski, A Barla, M Squillario, T Sanavia, BD Camillo, A Verri Source code for biology and medicine 8, 1-14, 2013 | 10 | 2013 |
| 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 |
| A telescope GWAS analysis strategy, based on SNPs-genes-pathways ensamble and on multivariate algorithms, to characterize late onset Alzheimer’s disease M Squillario, G Abate, F Tomasi, V Tozzo, A Barla, D Uberti Scientific reports 10 (1), 12063, 2020 | 9 | 2020 |
| Case report: Whole exome sequencing revealed disease-causing variants in two genes in a patient with autism spectrum disorder, intellectual disability, hyperactivity, sleep and … M Cerminara, G Spirito, L Pisciotta, M Squillario, M Servetti, MT Divizia, ... Frontiers in Genetics 12, 625564, 2021 | 8 | 2021 |
| Discriminant functional gene groups identification with machine learning and prior knowledge G Zycinski, M Squillario, A Barla, T Sanavia, A Verri, B Di Camillo ESANN 2012 proceedings, European Symposium on Artificial Neural Networks …, 2012 | 6 | 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 |
| Transplantation induces profound changes in the transcriptional asset of hematopoietic stem cells: identification of specific signatures using machine learning techniques D Cilloni, J Petiti, V Campia, M Podestà, M Squillario, N Montserrat, ... Journal of Clinical Medicine 9 (6), 1670, 2020 | 4 | 2020 |
| Effects of Chronic Arginase Inhibition with Norvaline on Tau Pathology and Brain Glucose Metabolism in Alzheimer's Disease Mice B Polis, M Squillario, V Gurevich, KD Srikanth, M Assa, AO Samson Neurochemical Research 47 (5), 1255-1268, 2022 | 3 | 2022 |
| Enhancing interpretability of gene signatures with prior biological knowledge M Squillario, M Barbieri, A Verri, A Barla Microarrays 5 (2), 15, 2016 | 3 | 2016 |
| Uncovering Candidate Biomarkers for Alzheimer’s and Parkison’s Diseases with Regularization Methods and Prior Knowledge M Squillario, S Masecchia, G Zycinski, A Barla Neuro-Degenerative Diseases-Proc AD/PD 2011, Barcelona, Spain 8 (Supp 1), 2011 | 3 | 2011 |
| A molecular based subtyping in juvenile idiopathic arthritis (JIA) M Squillario, C Malattia, C Basso, A Barla F1000Posters 2, 2011 | 2 | 2011 |
