Panayiotis V. Benos
Orcid: 0000-0003-3172-3132
According to our database1,
Panayiotis V. Benos
authored at least 38 papers
between 2001 and 2024.
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Bibliography
2024
Enabling the clinical application of artificial intelligence in genomics: a perspective of the AMIA Genomics and Translational Bioinformatics Workgroup.
J. Am. Medical Informatics Assoc., January, 2024
2023
An intrinsically interpretable neural network architecture for sequence-to-function learning.
Bioinform., 2023
2022
Essential Regression: A generalizable framework for inferring causal latent factors from multi-omic datasets.
Patterns, 2022
Proceedings of the Machine Learning for Health, 2022
2021
IEEE ACM Trans. Comput. Biol. Bioinform., 2021
2020
A Pipeline for Integrated Theory and Data-Driven Modeling of Genomic and Clinical Data.
CoRR, 2020
An improvement of ComiR algorithm for microRNA target prediction by exploiting coding region sequences of mRNAs.
BMC Bioinform., 2020
Causal network perturbations for instance-specific analysis of single cell and disease samples.
Bioinform., 2020
Proceedings of the 20th IEEE International Conference on Bioinformatics and Bioengineering, 2020
2019
Mixed graphical models for integrative causal analysis with application to chronic lung disease diagnosis and prognosis.
Bioinform., 2019
2018
Comparison of strategies for scalable causal discovery of latent variable models from mixed data.
Int. J. Data Sci. Anal., 2018
piMGM: incorporating multi-source priors in mixed graphical models for learning disease networks.
Bioinform., 2018
Proceedings of 2018 ACM SIGKDD Workshop on Causal Discovery, 2018
2017
Integrated Theory-and Data-Driven Feature Selection in Gene Expression Data Analysis.
Proceedings of the 33rd IEEE International Conference on Data Engineering, 2017
2016
Learning mixed graphical models with separate sparsity parameters and stability-based model selection.
BMC Bioinform., 2016
2015
J. Am. Medical Informatics Assoc., 2015
T-ReCS: Stable Selection of Dynamically Formed Groups of Features with Application to Prediction of Clinical Outcomes.
Proceedings of the Biocomputing 2015: Proceedings of the Pacific Symposium, 2015
2013
Proceedings of the Biocomputing 2013: Proceedings of the Pacific Symposium, 2013
2012
Novel Modeling of Combinatorial miRNA Targeting Identifies SNP with Potential Role in Bone Density.
PLoS Comput. Biol., 2012
2011
Nucleic Acids Res., 2011
Proceedings of the Handbook of Research on Computational and Systems Biology, 2011
2009
Extracting biologically significant patterns from short time series gene expression data.
BMC Bioinform., 2009
HHMMiR: efficient <i>de novo </i>prediction of microRNAs using hierarchical hidden Markov models.
BMC Bioinform., 2009
2008
Biological evaluation of biclustering algorithms using Gene Ontology and chIP-chip data.
Proceedings of the IEEE International Conference on Acoustics, 2008
2007
DNA Familial Binding Profiles Made Easy: Comparison of Various Motif Alignment and Clustering Strategies.
PLoS Comput. Biol., 2007
Nucleic Acids Res., 2007
Proceedings of the Proceedings 15th International Conference on Intelligent Systems for Molecular Biology (ISMB) & 6th European Conference on Computational Biology (ECCB), 2007
2006
Neural Networks, 2006
2005
Nucleic Acids Res., 2005
SOP<sup>3</sup>v2: web-based selection of oligonucleotide primer trios for genotyping of human and mouse polymorphisms.
Nucleic Acids Res., 2005
FOOTER: a web tool for finding mammalian DNA regulatory regions using phylogenetic footprinting.
Nucleic Acids Res., 2005
Improved detection of DNA motifs using a self-organized clustering of familial binding profiles.
Proceedings of the Proceedings Thirteenth International Conference on Intelligent Systems for Molecular Biology 2005, 2005
2001
Proceedings of the 6th Pacific Symposium on Biocomputing, 2001