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  1. No Access

    Chapter and Conference Paper

    A Gene Ontology-Driven Wide and Deep Learning Architecture for Cell-Type Classification from Single-Cell RNA-seq Data

    Recent advances in single-cell RNA-sequencing in order to study cells in biology, and the increasing amount of data available, led to the development of algorithms for analyzing single cells from gene express...

    Gianmarco Coppola, Antonino Fiannaca in Engineering Applications of Neural Networks (2022)

  2. No Access

    Chapter

    Classification of Sequences with Deep Artificial Neural Networks: Representation and Architectural Issues

    DNA sequences are the basic data type that is processed to perform a generic study of biological data analysis. One key component of the biological analysis is represented by sequence classification, a methodo...

    Domenico Amato, Mattia Antonino Di Gangi in Deep Learning for Biomedical Data Analysis (2021)

  3. Article

    Open Access

    BITS2019: the sixteenth annual meeting of the Italian society of bioinformatics

    The 16th Annual Meeting of the Bioinformatics Italian Society was held in Palermo, Italy, on June 26-28, 2019. More than 80 scientific contributions were presented, including 4 keynote lectures, 31 oral commun...

    Alfonso Urso, Antonino Fiannaca, Massimo La Rosa, Laura La Paglia in BMC Bioinformatics (2020)

  4. Article

    Open Access

    miRTissue ce: extending miRTissue web service with the analysis of ceRNA-ceRNA interactions

    Non-coding RNAs include different classes of molecules with regulatory functions. The most studied are microRNAs (miRNAs) that act directly inhibiting mRNA expression or protein translation through the interac...

    Antonino Fiannaca, Laura La Paglia, Massimo La Rosa, Riccardo Rizzo in BMC Bioinformatics (2020)

  5. No Access

    Chapter and Conference Paper

    Identification of Key miRNAs in Regulation of PPI Networks

    In this paper, we explore the interaction between miRNA and deregulated proteins in some pathologies. Assuming that miRNA can influence mRNA and consequently the proteins regulation, we explore this connection...

    Antonino Fiannaca, Laura La Paglia in Computational Intelligence Methods for Bio… (2020)

  6. Article

    Open Access

    MiRNA therapeutics based on logic circuits of biological pathways

    In silico experiments, with the aid of computer simulation, speed up the process of in vitro or in vivo experiments. Cancer therapy design is often based on signalling pathway. MicroRNAs (miRNA) are small non-...

    Valeria Boscaino, Antonino Fiannaca, Laura La Paglia, Massimo La Rosa in BMC Bioinformatics (2019)

  7. Article

    Open Access

    The 2017 Network Tools and Applications in Biology (NETTAB) workshop: aims, topics and outcomes

    The 17th International NETTAB workshop was held in Palermo, Italy, on October 16-18, 2017. The special topic for the meeting was “Methods, tools and platforms for Personalised Medicine in the Big Data Era”, bu...

    Paolo Romano, Arnaud Céol, Andreas Dräger, Antonino Fiannaca in BMC Bioinformatics (2019)

  8. Article

    Open Access

    miRTissue: a web application for the analysis of miRNA-target interactions in human tissues

    microRNAs act as regulators of gene expression interacting with their gene targets. Current bioinformatics services, such as databases of validated miRNA-target interactions and prediction tools, usually provi...

    Antonino Fiannaca, Massimo La Rosa, Laura La Paglia, Alfonso Urso in BMC Bioinformatics (2018)

  9. Article

    Open Access

    BioGraph: a web application and a graph database for querying and analyzing bioinformatics resources

    Several online databases provide a large amount of biomedical data of different biological entities. These resources are typically stored in systems implementing their own data model, user interface and query ...

    Antonio Messina, Antonino Fiannaca, Laura La Paglia, Massimo La Rosa in BMC Systems Biology (2018)

  10. Article

    Open Access

    Deep learning models for bacteria taxonomic classification of metagenomic data

    An open challenge in translational bioinformatics is the analysis of sequenced metagenomes from various environmental samples. Of course, several studies demonstrated the 16S ribosomal RNA could be considered ...

    Antonino Fiannaca, Laura La Paglia, Massimo La Rosa, Giosue’ Lo Bosco in BMC Bioinformatics (2018)

  11. No Access

    Chapter and Conference Paper

    Variable Ranking Feature Selection for the Identification of Nucleosome Related Sequences

    Several recent works have shown that K-mer sequence representation of a DNA sequence can be used for classification or identification of nucleosome positioning related sequences. This representation can be com...

    Giosué Lo Bosco, Riccardo Rizzo in New Trends in Databases and Information Sy… (2018)

  12. Article

    Open Access

    nRC: non-coding RNA Classifier based on structural features

    Non-coding RNA (ncRNA) are small non-coding sequences involved in gene expression regulation of many biological processes and diseases. The recent discovery of a large set of different ncRNAs with biologically...

    Antonino Fiannaca, Massimo La Rosa, Laura La Paglia, Riccardo Rizzo in BioData Mining (2017)

  13. No Access

    Chapter and Conference Paper

    Gremlin Language for Querying the BiographDB Integrated Biological Database

    In the last decade, biological tasks became much more complex and often their solution requires the simultaneous use of several different resources. Examples of typical bioinformatics scenarios are given by th...

    Antonino Fiannaca, Laura La Paglia in Bioinformatics and Biomedical Engineering (2017)

  14. No Access

    Chapter and Conference Paper

    A Problem-Driven Approach for Building a Bioinformatics GraphDB

    The development of high throughput technology in biological and medical domains has seen a growing intervention of informatics support. Indeed, the big amount of data produced is difficult to analyse and inter...

    Antonino Fiannaca, Massimo La Rosa in Computational Intelligence Methods for Bio… (2017)

  15. Article

    Open Access

    MiRNATIP: a SOM-based miRNA-target interactions predictor

    MicroRNAs (miRNAs) are small non-coding RNA sequences with regulatory functions to post-transcriptional level for several biological processes, such as cell disease progression and metastasis. MiRNAs interact ...

    Antonino Fiannaca, Massimo La Rosa, Laura La Paglia, Riccardo Rizzo in BMC Bioinformatics (2016)

  16. No Access

    Chapter and Conference Paper

    Integrated DB for Bioinformatics: A Case Study on Analysis of Functional Effect of MiRNA SNPs in Cancer

    The era of “big data” arose the need to have computational tools in support of biological tasks. Many types of bioinformatics tools have been developed for different biological tasks as target, pathway and gen...

    Antonino Fiannaca, Laura La Paglia in Information Technology in Bio- and Medical… (2016)

  17. No Access

    Chapter and Conference Paper

    A Deep Learning Approach to DNA Sequence Classification

    Deep learning neural networks are capable to extract significant features from raw data, and to use these features for classification tasks. In this work we present a deep learning neural network for DNA seque...

    Riccardo Rizzo, Antonino Fiannaca in Computational Intelligence Methods for Bio… (2016)

  18. Article

    Open Access

    Probabilistic topic modeling for the analysis and classification of genomic sequences

    Studies on genomic sequences for classification and taxonomic identification have a leading role in the biomedical field and in the analysis of biodiversity. These studies are focusing on the so-called barcode...

    Massimo La Rosa, Antonino Fiannaca, Riccardo Rizzo, Alfonso Urso in BMC Bioinformatics (2015)

  19. Article

    Open Access

    Analysis of miRNA expression profiles in breast cancer using biclustering

    MicroRNAs (miRNAs) are important key regulators in multiple cellular functions, due to their a crucial role in different physiological processes. MiRNAs are differentially expressed in specific tissues, during...

    Antonino Fiannaca, Massimo La Rosa, Laura La Paglia, Riccardo Rizzo in BMC Bioinformatics (2015)

  20. No Access

    Chapter

    DNA Barcode Classification Using General Regression Neural Network with Different Distance Models

    The “cythosome c oxidase subunits 1” (COI) gene is used for identification of species, and it is one of the so-called DNA barcode genes. Identification of species, even using DNA barcoding can be difficult if the...

    Massimo La Rosa, Antonino Fiannaca, Riccardo Rizzo in Mathematical Models in Biology (2015)

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