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2020 – today
- 2022
[j5]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: 104059 (2022)- [c10]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 - 2021
- [j4]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): 1884-1890 (2021) - [c9]Lauren Losin, Daniel Veltri:
Exploring target specificity of antimicrobial peptides through deep learning embeddings. BCB 2021: 77:1 - 2020
- [i1]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 abs/2009.08478 (2020)
2010 – 2019
- 2019
- [c8]Daniel Veltri, Kevin Molloy:
Employing Deep Learning to Study Biomolecules. BCB 2019: 554 - 2018
- [j3]Daniel Veltri, Uday Kamath, Amarda Shehu:
Deep learning improves antimicrobial peptide recognition. Bioinform. 34(16): 2740-2747 (2018) - [c7]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: 533 - [c6]Manpriya Dua, Daniel Veltri, Barney Bishop, Amarda Shehu:
Guiding Exploration of Antimicrobial Peptide Space with a Deep Neural Network. BIBM 2018: 2082-2087 - 2017
- [j2]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): 300-313 (2017) - 2016
- [b1]Daniel Veltri:
A Computational and Statistical Framework for Screening Novel Antimicrobial Peptides. George Mason University, Fairfax, Virginia, USA, 2016 - [j1]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): W41-W45 (2016) - 2014
- [c5]Irina Hashmi, Daniel Veltri, Nadine Kabbani, Amarda Shehu:
Knowledge-based search and multi-objective filters: proposed structural models of GPCR dimerization. BCB 2014: 279-288 - [c4]Daniel Veltri, Uday Kamath, Amarda Shehu:
A novel method to improve recognition of antimicrobial peptides through distal sequence-based features. BIBM 2014: 371-378 - 2013
- [c3]Elena G. Randou, Daniel Veltri, Amarda Shehu:
Binary Response Models for Recognition of Antimicrobial Peptides. BCB 2013: 76 - [c2]Elena G. Randou, Daniel Veltri, Amarda Shehu:
Systematic analysis of global features and model building for recognition of antimicrobial peptides. ICCABS 2013: 1-6 - 2012
- [c1]Daniel Veltri, Amarda Shehu:
Physico-chemical features for recognition of antimicrobial peptides. BIBM Workshops 2012: 942
Coauthor Index
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