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Bioinformatics (Oxford, England)|August 30, 2022
SEMgraph: an R package for causal network inference of high-throughput data with structural equation modelsMario Grassi, Fernando Palluzzi, Barbara TarantinoPlos Computational Biology|September 11, 2024
SEMbap: Bow-free covariance search and data de-correlationMario Grassi, Barbara TarantinoBMC Bioinformatics|August 17, 2022
SEMgsa: topology-based pathway enrichment analysis with structural equation modelsMario Grassi, Barbara TarantinoPlos One|January 8, 2025
SEMdag: Fast learning of Directed Acyclic Graphs via node or layer orderingMario Grassi, Barbara TarantinoBioinformatics (Oxford, England)|June 9, 2023
SEMtree: tree-based structure learning methods with structural equation modelsMario Grassi, Barbara TarantinoFrontiers in Neuroscience|April 2, 2019
Brain Connectivity and Information-Flow Breakdown Revealed by a Minimum Spanning Tree-Based Analysis of MRI Data in Behavioral Variant Frontotemporal DementiaValentina Saba, Enrico Premi, Viviana Cristillo, et al.IEEE/ACM Transactions on Computational Biology and Bioinformatics|April 25, 2017
Novelty Indicator for Enhanced Prioritization of Predicted Gene Ontology AnnotationsDavide Chicco, Fernando Palluzzi, Marco MasseroliJournal of Alzheimer'S Disease : JAD|September 25, 2015
Telling the Story of Frontotemporal Dementia by Bibliometric AnalysisDavide Guido, Gabriella Morandi, Fernando Palluzzi, et al.Plos One|October 12, 2017
A novel network analysis approach reveals DNA damage, oxidative stress and calcium/cAMP homeostasis-associated biomarkers in frontotemporal dementiaFernando Palluzzi, Raffaele Ferrari, Francesca Graziano, et al.BMC Bioinformatics|June 3, 2014
Investigating perturbed pathway modules from gene expression data via structural equation modelsDaniele Pepe, Mario GrassiPageof 25