Daniel Veltri

ORCID

Publication Activity (10 Years)

Years Active: 2012-2022
Publications (10 Years): 11

Top Venues

BCB

Bioinform.

BIBM

IEEE ACM Trans. Comput. Biol. Bioinform.

George Mason University, Fairfax, Virginia, USA (PHD)

Education History

George Mason University, Fairfax, Virginia, USA

PHD

Publications

Shankai Yan, Ling Luo, Po-Ting Lai, Daniel Veltri, Andrew J. Oler, Sandhya Xirasagar, Rajarshi Ghosh, Morgan Similuk, Peter N. Robinson, Zhiyong Lu
PhenoRerank: A re-ranking model for phenotypic concept recognition pre-trained on human phenotype ontology. J. Biomed. Informatics 129 (2022)
Shankai Yan, Ling Luo, Li Fang, Daniel Veltri, Andrew J. Oler, Rajarshi Ghosh, Chih-Hsuan Wei, Morgan Similuk, Kai Wang, Zhiyong Lu
PhenoGene: Disease-gene prioritization using graph embedding on patient phenotypic profiles. AMIA (2022)
Lauren Losin, Daniel Veltri
Exploring target specificity of antimicrobial peptides through deep learning embeddings. BCB (2021)
Ling Luo, Shankai Yan, Po-Ting Lai, Daniel Veltri, Andrew J. Oler, Sandhya Xirasagar, Rajarshi Ghosh, Morgan Similuk, Peter N. Robinson, Zhiyong Lu
PhenoTagger: a hybrid method for phenotype concept recognition using human phenotype ontology. Bioinform. 37 (13) (2021)
Ling Luo, Shankai Yan, Po-Ting Lai, Daniel Veltri, Andrew J. Oler, Sandhya Xirasagar, Rajarshi Ghosh, Morgan Similuk, Peter N. Robinson, Zhiyong Lu
PhenoTagger: A Hybrid Method for Phenotype Concept Recognition using Human Phenotype Ontology. CoRR (2020)
Daniel Veltri, Kevin Molloy
Employing Deep Learning to Study Biomolecules. BCB (2019)
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
Balancing Confidentiality and Sharing of Genomic and Phenotypic Data in a Clinical Research System. BCB (2018)
Daniel Veltri, Uday Kamath, Amarda Shehu
Deep learning improves antimicrobial peptide recognition. Bioinform. 34 (16) (2018)
Manpriya Dua, Daniel Veltri, Barney Bishop, Amarda Shehu
Guiding Exploration of Antimicrobial Peptide Space with a Deep Neural Network. BIBM (2018)
Daniel Veltri, Uday Kamath, Amarda Shehu
Improving Recognition of Antimicrobial Peptides and Target Selectivity through Machine Learning and Genetic Programming. IEEE ACM Trans. Comput. Biol. Bioinform. 14 (2) (2017)
Daniel Veltri, Martha Malapi Wight, Jo Anne Crouch
SimpleSynteny: a web-based tool for visualization of microsynteny across multiple species. Nucleic Acids Res. 44 (Webserver-Issue) (2016)
Daniel Veltri, Uday Kamath, Amarda Shehu
A novel method to improve recognition of antimicrobial peptides through distal sequence-based features. BIBM (2014)
Irina Hashmi, Daniel Veltri, Nadine Kabbani, Amarda Shehu
Knowledge-based search and multi-objective filters: proposed structural models of GPCR dimerization. BCB (2014)
Elena G. Randou, Daniel Veltri, Amarda Shehu
Binary Response Models for Recognition of Antimicrobial Peptides. BCB (2013)
Elena G. Randou, Daniel Veltri, Amarda Shehu
Systematic analysis of global features and model building for recognition of antimicrobial peptides. ICCABS (2013)
Daniel Veltri, Amarda Shehu
Physico-chemical features for recognition of antimicrobial peptides. BIBM Workshops (2012)

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Publication Activity (10 Years)

Top Topics

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Daniel Veltri