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Books and Theses
- 2018
[b1]Max Schubach:
Learning the Non-Coding Genome. Free University of Berlin, Dahlem, Germany, 2018
Journal Articles
- 2022
- [j3]Luca Cappelletti
, Alessandro Petrini, Jessica Gliozzo, Elena Casiraghi, Max Schubach, Martin Kircher, Giorgio Valentini:
Boosting tissue-specific prediction of active cis-regulatory regions through deep learning and Bayesian optimization techniques. BMC Bioinform. 23-S(2): 154 (2022) - 2017
- [j2]Marco Notaro, Max Schubach, Peter N. Robinson, Giorgio Valentini:
Prediction of Human Phenotype Ontology terms by means of hierarchical ensemble methods. BMC Bioinform. 18(1): 449:1-449:18 (2017) - 2010
- [j1]Suparna Mitra, Max Schubach, Daniel H. Huson:
Short clones or long clones? A simulation study on the use of paired reads in metagenomics. BMC Bioinform. 11(S-1): 12 (2010)
Conference and Workshop Papers
- 2020
- [c2]Luca Cappelletti, Alessandro Petrini, Jessica Gliozzo, Elena Casiraghi, Max Schubach, Martin Kircher, Giorgio Valentini:
Bayesian Optimization Improves Tissue-Specific Prediction of Active Regulatory Regions with Deep Neural Networks. IWBBIO 2020: 600-612 - 2017
- [c1]Marco Notaro, Max Schubach, Marco Frasca, Marco Mesiti, Peter N. Robinson, Giorgio Valentini:
Ensembling Descendant Term Classifiers to Improve Gene - Abnormal Phenotype Predictions. CIBB 2017: 70-80
Coauthor Index
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