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  1. Article

    Open Access

    Efficacy of High-dose Liraglutide 3.0 mg in Patients with Poor Response to Bariatric Surgery: Real-world Experience and Updated Meta-analysis

    Poor response to bariatric surgery, characterized by insufficient weight loss (IWL) or weight regain (WR), poses a significant challenge in obesity treatment. This study aims to assess the effectiveness of lir...

    Federica Vinciguerra, Carla Di Stefano, Roberto Baratta in Obesity Surgery (2024)

  2. No Access

    Chapter

    Motif Finding Algorithms: A Performance Comparison

    Network motifs are subgraphs of a network that occur more frequently than expected, according to some reasonable null model. They represent building blocks of complex systems such as genetic interaction networ...

    Emanuele Martorana, Roberto Grasso in From Computational Logic to Computational … (2024)

  3. No Access

    Book

    From Computational Logic to Computational Biology

    Essays Dedicated to Alfredo Ferro to Celebrate His Scientific Career

    Domenico Cantone, Alfredo Pulvirenti in Lecture Notes in Computer Science (2024)

  4. Article

    Open Access

    XRF analysis searching for fingerprint elemental profile in south-eastern Sicily tomatoes

    The implementation of analytical techniques able to certify food quality and origin in a fast and non-destructive way is becoming a widespread need in the agri-food sector. Among the physical non-destructive t...

    Salvina Panebianco, Maria Grazia Pellegriti, Claudio Finocchiaro in Scientific Reports (2023)

  5. No Access

    Chapter and Conference Paper

    COMBO: A Computational Framework to Analyze RNA-seq and Methylation Data Through Heterogeneous Multi-layer Networks

    Multi-layer Complex networks are commonly used for modeling and analysing biological entities. This paper presents a new computational framework called COMBO (Combining Multi Bio Omics) for generating and anal...

    Ilaria Cosentini, Vincenza Barresi in Complex Networks and Their Applications XI (2023)

  6. Article

    Open Access

    Network analysis of synovial RNA sequencing identifies gene-gene interactions predictive of response in rheumatoid arthritis

    To determine whether gene-gene interaction network analysis of RNA sequencing (RNA-Seq) of synovial biopsies in early rheumatoid arthritis (RA) can inform our understanding of RA pathogenesis and yield improve...

    Elisabetta Sciacca, Anna E. A. Surace, Salvatore Alaimo in Arthritis Research & Therapy (2022)

  7. Article

    Open Access

    Dysregulation of microRNAs and tRNA-derived ncRNAs in mesothelial and mesothelioma cell lines after asbestiform fiber exposure

    Experimental evidence demonstrated that fluoro-edenite (FE) can develop chronic respiratory diseases and elicit carcinogenic effects. Environmental exposure to FE fibers is correlated with malignant pleural me...

    Veronica Filetti, Alessandro La Ferlita, Antonio Di Maria in Scientific Reports (2022)

  8. Article

    Open Access

    NETME: on-the-fly knowledge network construction from biomedical literature

    The rapidly increasing biological literature is a key resource to automatically extract and gain knowledge concerning biological elements and their relations. Knowledge Networks are helpful tools in the contex...

    Alessandro Muscolino, Antonio Di Maria in Applied Network Science (2022)

  9. No Access

    Chapter

    Computational Methods for Drug Repurposing

    The wealth of knowledge and multi-omics data available in drug research has allowed the rise of several computational methods in the drug discovery field, resulting in a novel and exciting strategy called drug...

    Rosaria Valentina Rapicavoli in Computational Methods for Precision Oncolo… (2022)

  10. No Access

    Chapter

    Computational Resources for the Interpretation of Variations in Cancer

    A broad ecosystem of resources, databases, and systems to analyze cancer variations is present in the literature. These are a strategic element in the interpretation of NGS experiments. However, the intrinsic ...

    Grete Francesca Privitera, Salvatore Alaimo in Computational Methods for Precision Oncolo… (2022)

  11. No Access

    Chapter

    Pathway Analysis for Cancer Research and Precision Oncology Applications

    With the advent of OMICs technologies, several bioinformatics methods have been developed to infer biological knowledge from such data. Pathway analysis methodologies help integrate multi-OMICs data and find a...

    Alessandro La Ferlita, Salvatore Alaimo in Computational Methods for Precision Oncolo… (2022)

  12. Article

    Open Access

    TemporalRI: subgraph isomorphism in temporal networks with multiple contacts

    Temporal networks are graphs where each edge is associated with a timestamp denoting when two nodes interact. Temporal Subgraph Isomorphism (TSI) aims at retrieving all the subgraphs of a temporal network (cal...

    Giovanni Micale, Giorgio Locicero, Alfredo Pulvirenti in Applied Network Science (2021)

  13. Article

    Open Access

    RNAdetector: a free user-friendly stand-alone and cloud-based system for RNA-Seq data analysis

    RNA-Seq is a well-established technology extensively used for transcriptome profiling, allowing the analysis of coding and non-coding RNA molecules. However, this technology produces a vast amount of data requ...

    Alessandro La Ferlita, Salvatore Alaimo, Sebastiano Di Bella in BMC Bioinformatics (2021)

  14. No Access

    Chapter and Conference Paper

    NETME: On-the-Fly Knowledge Network Construction from Biomedical Literature

    The huge amount of biological literature, which daily increases, represents a strategic resource to automatically extract and gain knowledge concerning relations among biological elements. Knowledge Networks a...

    Alessandro Muscolino, Antonio Di Maria in Complex Networks & Their Applications IX (2021)

  15. No Access

    Chapter and Conference Paper

    TemporalRI: A Subgraph Isomorphism Algorithm for Temporal Networks

    Temporal networks are graphs where each edge is associated with a timestamp or an interval indicating when an interaction between two nodes happens. The Temporal Subgraph Isomorphism (TSI) problem aims at iden...

    Giorgio Locicero, Giovanni Micale in Complex Networks & Their Applications IX (2021)

  16. Article

    Open Access

    Establish the expected number of induced motifs on unlabeled graphs through analytical models

    Complex networks are usually characterized by the presence of small and recurrent patterns of interactions between nodes, called network motifs. These small modules can help to elucidate the structure and the ...

    Emanuele Martorana, Giovanni Micale, Alfredo Ferro in Applied Network Science (2020)

  17. No Access

    Article

    Risk of acute stroke in patients with retinal artery occlusion: a systematic review and meta-analysis

    To estimate the incidence of acute cerebral ischaemia detected by magnetic resonance imaging (MRI) in acute central retinal artery occlusion (CRAO), branch retinal artery occlusion (BRAO) and transient monocul...

    Matteo Fallico, Andrew J. Lotery, Antonio Longo, Teresio Avitabile in Eye (2020)

  18. No Access

    Chapter and Conference Paper

    Establish the Expected Number of Injective Motifs on Unlabeled Graphs Through Analytical Models

    Network motifs have a central role in explaining the functionality of complex systems. Establishing motif significance requires the computation of the expected number of their occurrences according to a random...

    Emanuele Martorana, Giovanni Micale in Complex Networks and Their Applications VI… (2020)

  19. Article

    Open Access

    TACITuS: transcriptomic data collector, integrator, and selector on big data platform

    Several large public repositories of microarray datasets and RNA-seq data are available. Two prominent examples include ArrayExpress and NCBI GEO. Unfortunately, there is no easy way to import and manipulate d...

    Salvatore Alaimo, Antonio Di Maria, Dennis Shasha, Alfredo Ferro in BMC Bioinformatics (2019)

  20. No Access

    Article

    Fast Subgraph Matching Strategies Based on Pattern-Only Heuristics

    Many scientific applications entail solving the subgraph isomorphism problem, i.e., given an input pattern graph, find all the subgraphs of a (usually much larger) target graph that are structurally equivalent...

    Antonino Aparo, Vincenzo Bonnici in Interdisciplinary Sciences: Computational … (2019)

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