Physico-chemical features for recognition of antimicrobial peptides. - Daniel Veltri; Amarda Shehu (BIBM Workshops, 2012)

Binary Response Models for Recognition of Antimicrobial Peptides. - Elena G. Randou; Daniel Veltri; Amarda Shehu (BCB, 2013)

Systematic analysis of global features and model building for recognition of antimicrobial peptides. - Elena G. Randou; Daniel Veltri; Amarda Shehu (ICCABS, 2013)

Knowledge-based search and multi-objective filters: proposed structural models of GPCR dimerization. - Irina Hashmi; Daniel Veltri; Nadine Kabbani; Amarda Shehu (BCB, 2014)

A novel method to improve recognition of antimicrobial peptides through distal sequence-based features. - Daniel Veltri; Uday Kamath; Amarda Shehu (BIBM, 2014)

SimpleSynteny: a web-based tool for visualization of microsynteny across multiple species. - Daniel Veltri; Martha Malapi Wight; Jo Anne Crouch (Nucleic Acids Res., 2016)

A Computational and Statistical Framework for Screening Novel Antimicrobial Peptides. - Daniel Veltri (2016)

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)

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; et al. (BCB, 2018)

Guiding Exploration of Antimicrobial Peptide Space with a Deep Neural Network. - Manpriya Dua; Daniel Veltri; Barney Bishop; Amarda Shehu (BIBM, 2018)

Deep learning improves antimicrobial peptide recognition. - Daniel Veltri; Uday Kamath; Amarda Shehu (Bioinform., 2018)

Employing Deep Learning to Study Biomolecules. - Daniel Veltri; Kevin Molloy (BCB, 2019)

Exploring target specificity of antimicrobial peptides through deep learning embeddings. - Lauren Losin; Daniel Veltri (BCB, 2021)

PhenoTagger: a hybrid method for phenotype concept recognition using human phenotype ontology. - Ling Luo 001; Shankai Yan; Po-Ting Lai; Daniel Veltri; Andrew J. Oler; Sandhya Xirasagar; Rajarshi Ghosh; Morgan Similuk; Peter N. Robinson; Zhiyong Lu (Bioinform., 2021)

PhenoGene: Disease-gene prioritization using graph embedding on patient phenotypic profiles. - Shankai Yan; Ling Luo 001; Li Fang; Daniel Veltri; Andrew J. Oler; Rajarshi Ghosh; Chih-Hsuan Wei; Morgan Similuk; Kai Wang; Zhiyong Lu (AMIA, 2022)

PhenoRerank: A re-ranking model for phenotypic concept recognition pre-trained on human phenotype ontology. - Shankai Yan; Ling Luo 001; Po-Ting Lai; Daniel Veltri; Andrew J. Oler; Sandhya Xirasagar; Rajarshi Ghosh; Morgan Similuk; Peter N. Robinson; Zhiyong Lu (J. Biomed. Informatics, 2022)