Daniel Veltri

According to our database, Daniel Veltri authored at least 16 papers between 2012 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

PhenoRerank: A re-ranking model for phenotypic concept recognition pre-trained on human phenotype ontology.

Shankai Yan, Ling Luo, Po-Ting Lai, Daniel Veltri, Andrew J. Oler, Sandhya Xirasagar, Rajarshi Ghosh, Morgan Similuk, Peter N. Robinson, Zhiyong Lu

J. Biomed. Informatics, 2022

PhenoGene: Disease-gene prioritization using graph embedding on patient phenotypic profiles.

Shankai Yan, Ling Luo, Li Fang, Daniel Veltri, Andrew J. Oler, Rajarshi Ghosh, Chih-Hsuan Wei, Morgan Similuk, Kai Wang, Zhiyong Lu

Proceedings of the AMIA 2022, 2022

2021

PhenoTagger: a hybrid method for phenotype concept recognition using human phenotype ontology.

Ling Luo, Shankai Yan, Po-Ting Lai, Daniel Veltri, Andrew J. Oler, Sandhya Xirasagar, Rajarshi Ghosh, Morgan Similuk, Peter N. Robinson, Zhiyong Lu

Bioinform., 2021

Exploring target specificity of antimicrobial peptides through deep learning embeddings.

Lauren Losin, Daniel Veltri

Proceedings of the BCB '21: 12th ACM International Conference on Bioinformatics, 2021

2019

Employing Deep Learning to Study Biomolecules.

Daniel Veltri, Kevin Molloy

Proceedings of the 10th ACM International Conference on Bioinformatics, 2019

2018

Deep learning improves antimicrobial peptide recognition.

Daniel Veltri, Uday Kamath, Amarda Shehu

Bioinform., 2018

Guiding Exploration of Antimicrobial Peptide Space with a Deep Neural Network.

Manpriya Dua, Daniel Veltri, Barney Bishop, Amarda Shehu

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

Balancing Confidentiality and Sharing of Genomic and Phenotypic Data in a Clinical Research System.

Daniel Veltri, Zhiwen Li, Sandhya Xirasagar, Andrew J. Oler, Xi Cheng, Ke Huang, Jason Barnett, Lingwen Zhang, Octavio Juarez Espinosa, Yongjie Fan, Morgan Similuk, Magdalena Walkiewicz, Celine Hong, Joyce Johnson, Joshua D. Milner

Proceedings of the 2018 ACM International Conference on Bioinformatics, 2018

2017

Improving Recognition of Antimicrobial Peptides and Target Selectivity through Machine Learning and Genetic Programming.

Daniel Veltri, Uday Kamath, Amarda Shehu

IEEE ACM Trans. Comput. Biol. Bioinform., 2017

2016

A Computational and Statistical Framework for Screening Novel Antimicrobial Peptides.

Daniel Veltri

PhD thesis, 2016

SimpleSynteny: a web-based tool for visualization of microsynteny across multiple species.

Daniel Veltri, Martha Malapi Wight, Jo Anne Crouch

Nucleic Acids Res., 2016

2014

A novel method to improve recognition of antimicrobial peptides through distal sequence-based features.

Daniel Veltri, Uday Kamath, Amarda Shehu

Proceedings of the 2014 IEEE International Conference on Bioinformatics and Biomedicine, 2014

Knowledge-based search and multi-objective filters: proposed structural models of GPCR dimerization.

Irina Hashmi, Daniel Veltri, Nadine Kabbani, Amarda Shehu

Proceedings of the 5th ACM Conference on Bioinformatics, 2014

2013

Systematic analysis of global features and model building for recognition of antimicrobial peptides.

Elena G. Randou, Daniel Veltri, Amarda Shehu

Proceedings of the IEEE 3rd International Conference on Computational Advances in Bio and Medical Sciences, 2013

Binary Response Models for Recognition of Antimicrobial Peptides.

Elena G. Randou, Daniel Veltri, Amarda Shehu

Proceedings of the ACM Conference on Bioinformatics, 2013

2012

Physico-chemical features for recognition of antimicrobial peptides.

Daniel Veltri, Amarda Shehu

Proceedings of the 2012 IEEE International Conference on Bioinformatics and Biomedicine Workshops, 2012