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Margherita Squillario
Margherita Squillario
PhD in Informatics, DIBRIS University of Genoa
Verified email at unige.it - Homepage
Title
Cited by
Cited by
Year
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
113*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
442018
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
332020
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
302012
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
242014
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
212019
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
202017
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
182020
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
162011
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
112013
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
102020
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
102012
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
92021
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
62022
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
62012
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 Podestą, M Squillario, N Montserrat, ...
Journal of Clinical Medicine 9 (6), 1670, 2020
42020
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
42014
Enhancing interpretability of gene signatures with prior biological knowledge
M Squillario, M Barbieri, A Verri, A Barla
Microarrays 5 (2), 15, 2016
32016
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
32011
A molecular based subtyping in juvenile idiopathic arthritis (JIA)
M Squillario, C Malattia, C Basso, A Barla
F1000Posters 2, 2011
22011
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Articles 1–20