Daniel Veltri

17 papers Misc 1Journal 6Unranked 9
YearRankTypeTitle / Venue / Authors
2022 Misc conf
PhenoGene: Disease-gene prioritization using graph embedding on patient phenotypic profiles.
AMIA
Shankai Yan, Ling Luo, Li Fang, Daniel Veltri, Andrew J. Oler, Rajarshi Ghosh, Chih-Hsuan Wei, Morgan Similuk, Kai Wang, Zhiyong Lu
2022 J jnl
PhenoRerank: A re-ranking model for phenotypic concept recognition pre-trained on human phenotype ontology.
J. Biomed. Informatics
Shankai Yan, Ling Luo, Po-Ting Lai, Daniel Veltri, Andrew J. Oler, Sandhya Xirasagar, Rajarshi Ghosh, Morgan Similuk, Peter N. Robinson, Zhiyong Lu
2021 — conf
Exploring target specificity of antimicrobial peptides through deep learning embeddings.
BCB
Lauren Losin, Daniel Veltri
2021 J jnl
PhenoTagger: a hybrid method for phenotype concept recognition using human phenotype ontology.
Bioinform.
Ling Luo, Shankai Yan, Po-Ting Lai, Daniel Veltri, Andrew J. Oler, Sandhya Xirasagar, Rajarshi Ghosh, Morgan Similuk, Peter N. Robinson, Zhiyong Lu
2020 J jnl
PhenoTagger: A Hybrid Method for Phenotype Concept Recognition using Human Phenotype Ontology.
CoRR
Ling Luo, Shankai Yan, Po-Ting Lai, Daniel Veltri, Andrew J. Oler, Sandhya Xirasagar, Rajarshi Ghosh, Morgan Similuk, Peter N. Robinson, Zhiyong Lu
2019 — conf
Employing Deep Learning to Study Biomolecules.
BCB
Daniel Veltri, Kevin Molloy
2018 — conf
Balancing Confidentiality and Sharing of Genomic and Phenotypic Data in a Clinical Research System.
BCB
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
2018 J jnl
Deep learning improves antimicrobial peptide recognition.
Bioinform.
Daniel Veltri, Uday Kamath, Amarda Shehu
2018 — conf
Guiding Exploration of Antimicrobial Peptide Space with a Deep Neural Network.
BIBM
Manpriya Dua, Daniel Veltri, Barney Bishop, Amarda Shehu
2017 J jnl
Improving Recognition of Antimicrobial Peptides and Target Selectivity through Machine Learning and Genetic Programming.
IEEE ACM Trans. Comput. Biol. Bioinform.
Daniel Veltri, Uday Kamath, Amarda Shehu
2016 — —
A Computational and Statistical Framework for Screening Novel Antimicrobial Peptides.
Daniel Veltri
2016 J jnl
SimpleSynteny: a web-based tool for visualization of microsynteny across multiple species.
Nucleic Acids Res.
Daniel Veltri, Martha Malapi Wight, Jo Anne Crouch
2014 — conf
A novel method to improve recognition of antimicrobial peptides through distal sequence-based features.
BIBM
Daniel Veltri, Uday Kamath, Amarda Shehu
2014 — conf
Knowledge-based search and multi-objective filters: proposed structural models of GPCR dimerization.
BCB
Irina Hashmi, Daniel Veltri, Nadine Kabbani, Amarda Shehu
2013 — conf
Binary Response Models for Recognition of Antimicrobial Peptides.
BCB
Elena G. Randou, Daniel Veltri, Amarda Shehu
2013 — conf
Systematic analysis of global features and model building for recognition of antimicrobial peptides.
ICCABS
Elena G. Randou, Daniel Veltri, Amarda Shehu
2012 — conf
Physico-chemical features for recognition of antimicrobial peptides.
BIBM Workshops
Daniel Veltri, Amarda Shehu