LP-HCLUS: a novel tool for the prediction of relationships between ncRNAs and human diseases

Authors

  • Emanuele Pio Barracchia Department of Computer Science, University of Bari Aldo Moro, Bari 70125; and National Interuniversity Consortium for Informatics (CINI), 00185 Rome https://orcid.org/0000-0003-2204-2140
  • Gianvito Pio Department of Computer Science, University of Bari Aldo Moro, Bari 70125; and National Interuniversity Consortium for Informatics (CINI), 00185 Rome https://orcid.org/0000-0003-2520-3616
  • Domenica D'Elia Institute for Biomedical Technologies, National Research Council, 70126 Bari https://orcid.org/0000-0003-3787-3836
  • Michelangelo Ceci Department of Computer Science, University of Bari Aldo Moro, Bari 70125; National Interuniversity Consortium for Informatics (CINI), Roma 00185; Department of Knowledge Technologies, Jozef Stefan Institute, Ljubljana 1000, Slovenia https://orcid.org/0000-0002-6690-7583

DOI:

https://doi.org/10.14806/ej.26.A.955

Keywords:

multi-type hierarchical clustering, disease, data mining, non-coding RNA,
EJ 26.A

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Published

2021-07-08

Issue

Vol. 26: Supplement A

Section

Oral Presentations

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