| DANN: a deep learning approach for annotating the pathogenicity of genetic variants D Quang, Y Chen, X Xie Bioinformatics 31 (5), 761-763, 2014 | 1037 | 2014 |
| DanQ: a hybrid convolutional and recurrent deep neural network for quantifying the function of DNA sequences D Quang, X Xie Nucleic acids research 44 (11), e107-e107, 2016 | 823 | 2016 |
| FactorNet: a deep learning framework for predicting cell type specific transcription factor binding from nucleotide-resolution sequential data D Quang, X Xie Methods 166, 40-47, 2019 | 195 | 2019 |
| Single-cell ATAC-Seq in human pancreatic islets and deep learning upscaling of rare cells reveals cell-specific type 2 diabetes regulatory signatures V Rai, DX Quang, MR Erdos, DA Cusanovich, RM Daza, N Narisu, LS Zou, ... Molecular metabolism 32, 109-121, 2020 | 114 | 2020 |
| Machine learning to predict anti–tumor necrosis factor drug responses of rheumatoid arthritis patients by integrating clinical and genetic markers Y Guan, H Zhang, D Quang, Z Wang, SCJ Parker, DA Pappas, JM Kremer, ... Arthritis & Rheumatology 71 (12), 1987-1996, 2019 | 103 | 2019 |
| Network propagation predicts drug synergy in cancers H Li, T Li, D Quang, Y Guan Cancer research 78 (18), 5446-5457, 2018 | 91 | 2018 |
| Anchor: trans-cell type prediction of transcription factor binding sites H Li, D Quang, Y Guan Genome research 29 (2), 281-292, 2019 | 64 | 2019 |
| EXTREME: an online EM algorithm for motif discovery D Quang, X Xie Bioinformatics 30 (12), 1667-1673, 2014 | 63 | 2014 |
| Motif signatures in stretch enhancers are enriched for disease-associated genetic variants DX Quang, MR Erdos, SCJ Parker, FS Collins Epigenetics & chromatin 8, 1-14, 2015 | 35 | 2015 |
| Three-plane–assembled deep learning segmentation of gliomas S Wu, H Li, D Quang, Y Guan Radiology: Artificial Intelligence 2 (2), e190011, 2020 | 23 | 2020 |
| YAMDA: thousandfold speedup of EM-based motif discovery using deep learning libraries and GPU D Quang, Y Guan, SCJ Parker Bioinformatics 34 (20), 3578-3580, 2018 | 15 | 2018 |
| Understanding sequence conservation with deep learning Y Li, D Quang, X Xie Proceedings of the 8th ACM international conference on bioinformatics …, 2017 | 8 | 2017 |
| Overcoming sequence misalignments with weighted structural superposition NA Khazanov, KL Damm‐Ganamet, DX Quang, HA Carlson Proteins: Structure, Function, and Bioinformatics 80 (11), 2523-2535, 2012 | 8 | 2012 |
| A Novel Pathogenic Variant of the CFTR Gene in a Patient with Cystic Fibrosis Phenotype—c. 4096A> T AB Arslan, AG Zamani, S Pekcan, MS Yıldırım Journal of Pediatric Genetics 9 (01), 040-043, 2020 | 2 | 2020 |
| NastyBugs: A simple method for extracting antimicrobial resistance information from metagenomes H Tsang, M Moss, G Fedewa, S Farag, D Quang, AV Rakov, B Busby F1000Research 6, 1971, 2017 | 1 | 2017 |
| NastyBugs: A simple method for extracting antimicrobial H Tsang, M Moss, G Fedewa, S Farag, D Quang, AV Rakov, B Busby | | 2017 |
| resistance information from metagenomes [version 1; referees H Tsang, M Moss, G Fedewa, S Farag, D Quang, AV Rakov, B Busby | | 2017 |
| Efficient large-scale machine learning algorithms for genomic sequences D Quang University of California, Irvine, 2017 | | 2017 |
| Anchor: Trans-cell Type Prediction of Transcription Factor Binding Sites (Running Title Prediction of Transcription Factor Binding Sites) H Li, D Quang, Y Guan | | |
| Trending topics in bioinformatics/AI: a deep learning approach to antibiotic discovery D Quang | | |
