Algorithms for complex systems in the Life Sciences

• Bioinformatica (n. ore 15) 6CFU Indice docente: 3.93 Tasso di soddisfazione docente: 100 Tasso di risposta: 0.39 (2021)
• Bioinformatics (n. ore 30) 8 CFU Indice Docente: :3.645 Tasso di soddisfazione docente:91.67 % Tasso di risposta:0.16(questionari compilati /studenti frequentanti) (2021)
• PitchD presentation: https://www.youtube.com/watch?v=9qUqZHt_tiA&t=74s (2021)
• Bioinformatica (n. ore 15) 6 CFU Indice Docente: :3.55 Tasso di risposta:0.29 (2021)
• DAUIN 2nd YEAR PhD AWARD COMPETITION 2020 (2020)
• BEST POSTER PRESENTATION AWARD for outstanding poster presentation at the 3rd Multidisciplinary International EMBO/FEBS/Institut Curie Lecture Course on Computational Systems Biology of Cancer Promises of Artificial Intelligence. September 28th - October 2nd 2020 (2020)

Master of Science

• Bioinformatics. A.A. 2020/21, INGEGNERIA ELETTRONICA (ELECTRONIC ENGINEERING). Collaboratore del corso
• Bioinformatica. A.A. 2018/19, INGEGNERIA BIOMEDICA. Collaboratore del corso
• Bioinformatica. A.A. 2019/20, INGEGNERIA BIOMEDICA. Collaboratore del corso
• Bioinformatics. A.A. 2020/21, DATA SCIENCE AND ENGINEERING. Collaboratore del corso

• Lovino, Marta (2021)
  Algorithms for complex systems in the life sciences. relatore: MACII, Enrico; FICARRA, ELISA; , 33. XXXIII Ciclo, P.: 159
  Doctoral Thesis
• Lovino, Marta (2021)
  Algorithms for complex systems in the life sciences: AI for gene fusion prioritization and multi-omics data integration. relatore: ,
  Doctoral Thesis
• Lovino, Marta; Urgese, Gianvito; Macii, Enrico; DI CATALDO, Santa; Ficarra, Elisa (2020)
  Predicting the oncogenic potential of gene fusions using convolutional neural networks. In: Computational Intelligence Methods for Bioinformatics and Biostatistics / S.N., S.L., Springer International Publishing, pp. 277-284. ISBN: 978-3-030-34584-6
  Contributo in Volume
• Barbiero, Pietro; Lovino, Marta; Siviero, Mattia; Ciravegna, Gabriele; Randazzo, ... (2020)
  Unsupervised Multi-Omic Data Fusion: the Neural Graph Learning Network. In: 16th International Conference on Intelligent Computing, ICIC 2020, Bari (ita), Ottobre 2020, pp. 172-182. ISSN 1611-3349. ISBN: 978-3-030-60798-2
  Contributo in Atti di Convegno (Proceeding)
• Lovino, Marta; Bontempo, Gianpaolo; Cirrincione, Giansalvo; Ficarra, Elisa (2020)
  Multi-omics classification on kidney samples exploiting uncertainty-aware models. In: International Conference on Intelligent Computing (ICIC2020), Bari (Online), Oct 10-11th 2020, pp. 32-42
  Contributo in Atti di Convegno (Proceeding)
• Lovino, Marta; Ciaburri, Maria Serena; Urgese, Gianvito; Di Cataldo, Santa; Ficarra, ... (2020)
  DEEPrior: a deep learning tool for the prioritization of gene fusions. In: BIOINFORMATICS, vol. 36, pp. 3248-3250. ISSN 1367-4803
  Contributo su Rivista
• Roberti, Ilaria; Lovino, Marta; Di Cataldo, Santa; Ficarra, Elisa; Urgese, Gianvito (2019)
  Exploiting Gene Expression Profiles for the Automated Prediction of Connectivity between Brain Regions. In: INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES, vol. 20. ISSN 1422-0067
  Contributo su Rivista
• Lovino, Marta; Urgese, Gianvito; Macii, Enrico; Di Cataldo, Santa; Ficarra, Elisa (2019)
  A Deep Learning Approach to the Screening of Oncogenic Gene Fusions in Humans. In: INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES, vol. 20, pp. 1-13. ISSN 1422-0067
  Contributo su Rivista