Pietro Pinoli

Orcid: 0000-0001-9786-2851

According to our database1, Pietro Pinoli authored at least 55 papers between 2012 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Bibliography

2023
VariantHunter: a method and tool for fast detection of emerging SARS-CoV-2 variants.
Database J. Biol. Databases Curation, 2023

Ask Your Data - Supporting Data Science Processes by Combining AutoML and Conversational Interfaces.
IEEE Access, 2023

Inference of Synthetically Lethal Pairs of Genes Involved in Metastatic Processes via Non-Negative Matrix Tri-Factorization.
Proceedings of the 15th International Conference on Bioinformatics and Biomedical Technology, 2023

Leveraging Non-negative Matrix Tri-Factorization and Knowledge-Based Embeddings for Drug Repurposing: an Application to Parkinson's Disease.
Proceedings of the 10th International Conference on Biomedical and Bioinformatics Engineering, 2023

2022
Predicting Drug Synergism by Means of Non-Negative Matrix Tri-Factorization.
IEEE ACM Trans. Comput. Biol. Bioinform., 2022

Investigating Deep Learning Based Breast Cancer Subtyping Using Pan-Cancer and Multi-Omic Data.
IEEE ACM Trans. Comput. Biol. Bioinform., 2022

GeCoAgent: A Conversational Agent for Empowering Genomic Data Extraction and Analysis.
ACM Trans. Comput. Heal., 2022

ViruClust: direct comparison of SARS-CoV-2 genomes and genetic variants in space and time.
Bioinform., 2022

Generalization of Probabilistic Latent Semantic Analysis to k-partite Graphs.
Proceedings of the 14th International Joint Conference on Knowledge Discovery, 2022

Conceptual models and databases for searching the genome.
Proceedings of the 25th International Conference on Extending Database Technology, 2022

MCTK: a Multi-modal Conversational Troubleshooting Kit for supporting users in web applications.
Proceedings of the AVI 2022: International Conference on Advanced Visual Interfaces, Frascati, Rome, Italy, June 6, 2022

2021
ViruSurf: an integrated database to investigate viral sequences.
Nucleic Acids Res., 2021

Identifying collateral and synthetic lethal vulnerabilities within the DNA-damage response.
BMC Bioinform., 2021

EpiSurf: metadata-driven search server for analyzing amino acid changes within epitopes of SARS-CoV-2 and other viral species.
Database J. Biol. Databases Curation, 2021

Federated sharing and processing of genomic datasets for tertiary data analysis.
Briefings Bioinform., 2021

A review on viral data sources and search systems for perspective mitigation of COVID-19.
Briefings Bioinform., 2021

Ensemble Feature Selection for Single Cell Chromatin Conformation Analysis.
Proceedings of the ICBBT 2021: 13th International Conference on Bioinformatics and Biomedical Technology, Xi'an, China, May 21, 2021

A Non-Negative Matrix Tri-Factorization Based Method for Predicting Antitumor Drug Sensitivity.
Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2021

2020
Matrix Factorization-based Technique for Drug Repurposing Predictions.
IEEE J. Biomed. Health Informatics, 2020

Data Science for Genomic Data Management: Challenges, Resources, Experiences.
SN Comput. Sci., 2020

Impact of Mutational Signatures on microRNA and Their Response Elements.
Proceedings of the Pacific Symposium on Biocomputing 2020, 2020

Empowering Virus Sequence Research Through Conceptual Modeling.
Proceedings of the Conceptual Modeling - 39th International Conference, 2020

OK, DNA!: A Conversational Interface to Explore Genomic Data.
Proceedings of the 2nd Conference on Conversational User Interfaces, 2020

2019
Metadata management for scientific databases.
Inf. Syst., 2019

PyGMQL: scalable data extraction and analysis for heterogeneous genomic datasets.
BMC Bioinform., 2019

Processing of big heterogeneous genomic datasets for tertiary analysis of Next Generation Sequencing data.
Bioinform., 2019

Non-negative Matrix Tri-Factorization for Data Integration and Network-based Drug Repositioning.
Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2019

Evaluating Deep Semi-supervised Learning for Whole-Transcriptome Breast Cancer Subtyping.
Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2019

Analysis and Visualization of Mutation Enrichments for Selected Genomic Regions and Cancer Types.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

Deleterious Impact of Mutational Processes on Transcription Factor Binding Sites in Human Cancer.
Proceedings of the 19th IEEE International Conference on Bioinformatics and Bioengineering, 2019

Drug Repositioning Predictions by Non-Negative Matrix Tri-Factorization of Integrated Association Data.
Proceedings of the 10th ACM International Conference on Bioinformatics, 2019

2018
TICA: Transcriptional Interaction and Coregulation Analyzer.
Genom. Proteom. Bioinform., 2018

Exploring Genomic Datasets: from Batch to Interactive and Back.
Proceedings of the 5th International Workshop on Exploratory Search in Databases and the Web, 2018

Demonstration of GenoMetric Query Language.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

DLA: a Distributed, Location-based and Apriori-based Algorithm for Biological Sequence Pattern Mining.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

2017
Modeling and querying genomic data.
PhD thesis, 2017

Data Management for Heterogeneous Genomic Datasets.
IEEE ACM Trans. Comput. Biol. Bioinform., 2017

Framework for Supporting Genomic Operations.
IEEE Trans. Computers, 2017

Bi-Dimensional Binning for Big Genomic Datasets.
Proceedings of the 4th ACM SIGMOD Workshop on Algorithms and Systems for MapReduce and Beyond, 2017

Data-Driven Genomic Computing: Making sense of Signals from the Genome.
Proceedings of the Selected Papers of the XIX International Conference on Data Analytics and Management in Data Intensive Domains (DAMDID/RCDL 2017), 2017

Overview of GeCo: A Project for Exploring and Integrating Signals from the Genome.
Proceedings of the Data Analytics and Management in Data Intensive Domains, 2017

Scalable Genomic Data Management System on the Cloud.
Proceedings of the 2017 International Conference on High Performance Computing & Simulation, 2017

Evaluating Genomic Big Data Operations on SciDB and Spark.
Proceedings of the Web Engineering - 17th International Conference, 2017

Experiences in the Development of a Data Management System for Genomics.
Proceedings of the Data Management Technologies and Applications, 2017

2016
Cross-organism learning method to discover new gene functionalities.
Comput. Methods Programs Biomed., 2016

Data Management for Next Generation Genomic Computing.
Proceedings of the 19th International Conference on Extending Database Technology, 2016

2015
Computational algorithms to predict Gene Ontology annotations.
BMC Bioinform., 2015

GenoMetric Query Language: a novel approach to large-scale genomic data management.
Bioinform., 2015

Evaluating cloud frameworks on genomic applications.
Proceedings of the 2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, USA, October 29, 2015

2014
Random Perturbations of Term Weighted Gene Ontology Annotations for Discovering Gene Unknown Functionalities.
Proceedings of the Knowledge Discovery, Knowledge Engineering and Knowledge Management, 2014

Discovering New Gene Functionalities from Random Perturbations of Known Gene Ontological Annotations.
Proceedings of the KDIR 2014 - Proceedings of the International Conference on Knowledge Discovery and Information Retrieval, Rome, Italy, 21, 2014

Latent Dirichlet Allocation based on Gibbs Sampling for gene function prediction.
Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2014

2013
Weighting Scheme Methods for Enhanced Genomic Annotation Prediction.
Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2013

Enhanced probabilistic latent semantic analysis with weighting schemes to predict genomic annotations.
Proceedings of the 13th IEEE International Conference on BioInformatics and BioEngineering, 2013

2012
Probabilistic Latent Semantic Analysis for prediction of Gene Ontology annotations.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012


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