International Peer-Reviewed Journals

  1. Marco Notaro, Marco Frasca, Alessandro Petrini, Jessica Gliozzo, Elena Casiraghi, Peter N Robinson, Giorgio Valentini, HEMDAG: a family of modular and scalable hierarchical ensemble methods to improve Gene Ontology term prediction, Bioinformatics, 2021. ( net_icon_link )

  2. A. Cassaro, G. Grillo, M. Notaro, J. Gliozzo, I. Esposito, G. Reda, A. Trojani, G. Valentini, B. Di Camillo, R. Cairoli, A. Beghini, FZD6 triggers Wnt–signalling driven by WNT10BIVS1 expression and highlights new targets in T cell acute lymphoblastic leukemia. Hematological Oncology, 2021 ( net_icon_link, pdf_icon_link )

  3. P. Perlasca, M. Frasca, C.T. Ba, J. Gliozzo, M. Notaro, M. Pennacchioni, G. Valentini and M. Mesiti, Multi-resolution visualization and analysis of biomolecular networks through hierarchical community detection and web-based graphical tools. PLOS ONE, 2020 ( net_icon_link, pdf_icon_link )

  4. N. Zhou, Y. Jiang, ..., M. Notaro, ..., P. Radivojac, I. Friedberg. The CAFA challenge reports improved protein function prediction and new functional annotations for hundreds of genes through experimental screens. Genome Biology, 2019. ( net_icon_link, pdf_icon_link )

  5. P. Perlasca, M. Frasca, C.T. Ba, M. Notaro, A. Petrini, G. Grossi, J. Gliozzo, G. Valentini and M. Mesiti. Unipred-web: a web tool for the integration and visualization of biomolecular networks for protein function prediction. BMC Bioinformatics, 2019 ( net_icon_link, pdf_icon_link )

  6. M. Frasca, G. Grossi, J. Gliozzo, M. Mesiti, M. Notaro, P. Perlasca, A. Petrini and G. Valentini, A GPU-based algorithm for fast node label learning in large and unbalanced biomolecular networks. BMC Bioinformatics, 2018 ( net_icon_link, pdf_icon_link )

  7. M. Notaro, M. Schubach, P. Robinson, and G. Valentini, Prediction of Human Phenotype Ontology terms by means of Hierarchical Ensemble methods. BMC Bioinformatics, 2017 ( net_icon_link, pdf_icon_link ) Note: awarded by the International Medical Informatics Association (IMIA) as one of the five best Knowledge Representation and Management (KRM) papers of 2017 in the field of Medical Informatics ( net_icon_link, net_icon_link, net_icon_link )

Proceedings of International Conferences and Peer-Reviewed Book Chapters

  1. C.T. Ba, E. Casiraghi, M. Frasca, J. Gliozzo, G. Grossi, M. Mesiti, M. Notaro, P. Perlasca, A. Petrini, M. Re, G. Valentini, A Graphical Tool for the Exploration and Visual Analysis of Biomolecular Networks, In: Raposo M, et al. (eds) Computational Intelligence Methods for Bioinformatics and Biostatistics. CIBB 2018. Lecture Notes in Computer Science 2020, vol 11925. Springer, Cham. ( net_icon_link )

  2. M. Notaro, M. Schubach, P.N. Robinson, G. Valentini, Ensembling Descendant Term Classifiers to Improve Gene - Abnormal Phenotype Predictions, In: Bartoletti M. et al. (eds) Computational Intelligence Methods for Bioinformatics and Biostatistics. CIBB 2017. Lecture Notes in Computer Science, vol 10834. Springer, Cham. ( net_icon_link )

  3. M. Frasca, J.F. Fontaine, G. Valentini, M. Mesiti, M. Notaro , D. Malchiodi and M.A. Andrade-Navarro Disease Genes must Guide Data Source Integration in the Gene Prioritization Process, In: Bartoletti M. et al. (eds) Computational Intelligence Methods for Bioinformatics and Biostatistics. CIBB 2017. Lecture Notes in Computer Science, vol 10834. Springer, Cham. ( net_icon_link )

  4. P.N. Robinson, M. Frasca, S. Köhler, M. Notaro, M. Re, G. Valentini, A Hierarchical Ensemble Method for DAG-Structured Taxonomies, In: Schwenker F., Roli F., Kittler J. (eds) Multiple Classifier Systems. MCS 2015. Lecture Notes in Computer Science, vol 9132. Springer, Cham. ( net_icon_link )

  5. G. Valentini, S. Köhler, M. Re, M. Notaro, P.N. Robinson, Prediction of Human Gene-Phenotype Associations by Exploiting the Hierarchical Structure of the Human Phenotype Ontology, In: Ortuño F., Rojas I. (eds) Bioinformatics and Biomedical Engineering. IWBBIO 2015. Lecture Notes in Computer Science, vol 9043. Springer, Cham. ( net_icon_link )

Theses

  1. Marco Notaro, Hierarchical Ensemble Methods for Ontology-based Predictions in Computational Biology, Ph.D. in Computer Science, Milan University, February 2019 ( pdf_icon_link, English)

  2. Marco Notaro, Hierarchical Ensemble Methods for Biontologies Structured as Directed Acyclic Graphs, M.Sc. in Molecular Biotechnologies and Bioinformatics, Milan University, February 2015 ( pdf_icon_link, Italian)

  3. Marco Notaro, High Resolution Maps of Methylation and Acetylation of Histones in the Human Genome, B.Sc. in Industrial and Environmental Biotechnology, Milan University, October 2012 ( pdf_icon_link, Italian)

Elsewhere

You can also find a full list of my publications (and other stuff) on the following pages:

  1. Scopus

  2. ORCID

  3. DBLP

  4. IRIS-AIR@UNIMI

  5. Google Scholar