Elisabetta Manduchi
Orcid: 0000-0002-4110-3714
According to our database1,
Elisabetta Manduchi
authored at least 17 papers
between 1999 and 2022.
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Bibliography
2022
Genetic Analysis of Coronary Artery Disease Using Tree-Based Automated Machine Learning Informed By Biology-Based Feature Selection.
IEEE ACM Trans. Comput. Biol. Bioinform., 2022
BioData Min., 2022
2020
Embedding covariate adjustments in tree-based automated machine learning for biomedical big data analyses.
BMC Bioinform., 2020
How Computational Experiments Can Improve Our Understanding of the Genetic Architecture of Common Human Diseases.
Artif. Life, 2020
Expanding Polygenic Risk Scores to Include Automatic Genotype Encodings and Gene-gene Interactions.
Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2020), 2020
2019
Exploration of a diversity of computational and statistical measures of association for genome-wide genetic studies.
BioData Min., 2019
2018
Leveraging putative enhancer-promoter interactions to investigate two-way epistasis in Type 2 Diabetes GWAS.
Proceedings of the Biocomputing 2018: Proceedings of the Pacific Symposium, 2018
How computational thought experiments can improve our understanding of the genetic architecture of common human diseases.
Proceedings of the 2018 Conference on Artificial Life, 2018
2013
Development of an Application Ontology for Beta Cell Genomics Based On the Ontology for Biomedical Investigations.
Proceedings of the 4th International Conference on Biomedical Ontology, 2013
2011
AnnotCompute: annotation-based exploration and meta-analysis of genomics experiments.
Database J. Biol. Databases Curation, 2011
2009
A flexible two-stage procedure for identifying gene sets that are differentially expressed.
Bioinform., 2009
2007
EPConDB: a web resource for gene expression related to pancreatic development, beta-cell function and diabetes.
Nucleic Acids Res., 2007
2004
RAD and the RAD Study-Annotator: an approach to collection, organization and exchange of all relevant information for high-throughput gene expression studies.
Bioinform., 2004
2001
Bioinform., 2001
2000
Generation of patterns from gene expression data by assigning confidence to differentially expressed genes.
Bioinform., 2000
1999
Proceedings of the Third Annual International Conference on Research in Computational Molecular Biology, 1999