Laura La Paglia

Orcid: 0000-0002-1077-5657

According to our database1, Laura La Paglia authored at least 14 papers between 2015 and 2023.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
GOWDL: gene ontology-driven wide and deep learning model for cell typing of scRNA-seq data.
Briefings Bioinform., September, 2023

2022
A Gene Ontology-Driven Wide and Deep Learning Architecture for Cell-Type Classification from Single-Cell RNA-seq Data.
Proceedings of the Engineering Applications of Neural Networks, 2022

2020
BITS2019: the sixteenth annual meeting of the Italian society of bioinformatics.
BMC Bioinform., 2020

miRTissue <sub>ce</sub>: extending miRTissue web service with the analysis of ceRNA-ceRNA interactions.
BMC Bioinform., 2020

2019
MiRNA therapeutics based on logic circuits of biological pathways.
BMC Bioinform., 2019

2018
BioGraph: a web application and a graph database for querying and analyzing bioinformatics resources.
BMC Syst. Biol., 2018

Deep learning models for bacteria taxonomic classification of metagenomic data.
BMC Bioinform., 2018

Identification of Key miRNAs in Regulation of PPI Networks.
Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2018

2017
nRC: non-coding RNA Classifier based on structural features.
BioData Min., 2017

Gremlin Language for Querying the BiographDB Integrated Biological Database.
Proceedings of the Bioinformatics and Biomedical Engineering, 2017

2016
MiRNATIP: a SOM-based miRNA-target interactions predictor.
BMC Bioinform., 2016

Integrated DB for Bioinformatics: A Case Study on Analysis of Functional Effect of MiRNA SNPs in Cancer.
Proceedings of the Information Technology in Bio- and Medical Informatics, 2016

A Problem-Driven Approach for Building a Bioinformatics GraphDB.
Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2016

2015
Analysis of miRNA expression profiles in breast cancer using biclustering.
BMC Bioinform., 2015


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