International Peer-Reviewed Journals

1. I. Alshamleh, N. Kurrle, P. Makowka, R. Bhayadia, R. Kumar, S. Süsser, M. Seibert, D. Ludig, S. Wolf, S.E. Koschade, K. Stoschek, J. Kreitz, D.C. Fuhrmann, R. Toenges, M. Notaro, F. Comoglio, J.J. Schuringa, T. Berg, B. Brüne, D.S. Krause, J.H. Klusmann, T. Oellerich, F. Schnütgen, H. Schwalbe, H. Serve PDP1 is a key metabolic gatekeeper and modulator of drug resistance in FLT3-ITD-positive acute myeloid leukemia, Leukemia, 2023 ( , )

2. E. Casiraghi, R. Wong, M. Hall, B. Coleman, M. Notaro, M. D. Evans, J. S. Tronieri, H. Blau, B. Laraway, T. J. Callahan, L. E. Chan, C. T. Bramante, J. B. Buse, R. A. Moffitt, T. Stürmer, S. G. Johnson, Y. R. Shao, J. Reese, P. N. Robinson, A. Paccanaro, G. Valentini, J. D. Huling, K. J. Wilkins, A method for comparing multiple imputation techniques: a case study on the U.S. National COVID Cohort Collaborative, Journal of Biomedical Informatics, 2023 ( , )

3. J. Gliozzo, M. Mesiti, M. Notaro, A. Petrini, A. Patak, A. P-G., A. Paccanaro, G. Valentini, E. Casiraghi, Heterogeneous data integration methods for patient similarity networks, Briefings in Bioinformatics, 2022. ( , )

4. M. Notaro, M. Frasca, A. Petrini, J. Gliozzo, E. Casiraghi, P. N. Robinson, Giorgio Valentini, HEMDAG: a family of modular and scalable hierarchical ensemble methods to improve Gene Ontology term prediction, Bioinformatics, 2021. ( )

5. 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 WNT10B^IVS1 expression and highlights new targets in T cell acute lymphoblastic leukemia. Hematological Oncology, 2021 ( , )

6. 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 ( , )

7. 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. ( , )

8. 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 ( , )

9. 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 ( , )

10. M. Notaro, M. Schubach, P. Robinson, and G. Valentini, Prediction of Human Phenotype Ontology terms by means of Hierarchical Ensemble methods. BMC Bioinformatics, 2017 ( , ) 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 ( , , )

Proceedings of International Conferences and Peer-Reviewed Book Chapters

1. P. Perlasca, M. Frasca, C. T. Ba, J. Gliozzo, M. Notaro, M. Pennacchioni, G. Valentini, M. Mesiti, Integration and Visual Analysis of Biomolecular Networks Through UNIPred-Web, In: Current Trends in Web Engineering. ICWE 2022. Communications in Computer and Information Science, vol 1668. Springer, Cham. ( )

2. 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. ( )

3. 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. ( )

4. 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. ( )

5. 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. ( )

6. 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. ( )

Theses

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

Elsewhere

You can also find a full list of my publications on Google Scholar.

Interdisciplinary Publications

The below pie chart displays my publications by subject area - data taken from my Scopus page.