| Predicting human olfactory perception from chemical features of odor molecules A Keller, RC Gerkin, Y Guan, A Dhurandhar, G Turu, B Szalai, ... Science 355 (6327), 820-826, 2017 | 291 | 2017 |
| Potential therapeutic agents for COVID-19 based on the analysis of protease and RNA polymerase docking YC Chang, YA Tung, KH Lee, TF Chen, YC Hsiao, HC Chang, TT Hsieh, ... MDPI AG, 2020 | 136 | 2020 |
| Crowdsourced estimation of cognitive decline and resilience in Alzheimer's disease GI Allen, N Amoroso, C Anghel, V Balagurusamy, CJ Bare, D Beaton, ... Alzheimer's & Dementia 12 (6), 645-653, 2016 | 86 | 2016 |
| GenEpi: gene-based epistasis discovery using machine learning YC Chang, JT Wu, MY Hong, YA Tung, PH Hsieh, SW Yee, KM Giacomini, ... BMC bioinformatics 21, 1-13, 2020 | 34 | 2020 |
| Integrating RNA-seq and ChIP-seq data to characterize long non-coding RNAs in Drosophila melanogaster MJM Chen, LK Chen, YS Lai, YY Lin, DC Wu, YA Tung, KY Liu, HT Shih, ... BMC genomics 17, 1-14, 2016 | 24 | 2016 |
| Inferring gene expression from ribosomal promoter sequences, a crowdsourcing approach P Meyer, G Siwo, D Zeevi, E Sharon, R Norel, E Segal, G Stolovitzky, ... Genome research 23 (11), 1928-1937, 2013 | 17 | 2013 |
| Potential therapeutic agents for COVID-19 based on the analysis of protease and RNA polymerase docking. Preprints. 2020 YC Chang, YA Tung, KH Lee, TF Chen, YC Hsiao, HC Chang, TT Hsieh, ... Unpublished].[DOI: 10.20944/preprints202002. 0242. v1], 0 | 15 | |
| Potential therapeutic agents for COVID-19 based on the analysis of protease and RNA polymerase docking. Preprints Y Chang, Y Tung, K Lee, T Chen, Y Hsiao, H Chang, T Hsieh, C Su, ... | 5 | 2020 |
| Reverse-engineering human olfactory perception from chemical features of odor molecules A Keller, RC Gerkin, Y Guan, A Dhurandhar, G Turu, B Szalai, ... bioRxiv, 082495, 2016 | 2 | 2016 |
| ezGeno: an automatic model selection package for genomic data analysis JL Lin, TT Hsieh, YA Tung, XJ Chen, YC Hsiao, CL Yang, TL Liu, ... Bioinformatics 38 (1), 30-37, 2022 | 1 | 2022 |
| SeqsLab: an integrated platform for cohort-based annotation and interpretation of genetic variants on Spark MT Chang, YA Tung, JM Chung, HF Yao, YL Li, YH Lin, YT Wang, ... bioRxiv, 239962, 2017 | 1 | 2017 |
| accuEnhancer: Accurate enhancer prediction by integration of multiple cell type data with deep learning YA Tung, WT Yang, TT Hsieh, YC Chang, JT Wu, YJ Oyang, CY Chen bioRxiv, 2020.11. 10.375717, 2020 | | 2020 |
| Integrating multiple cell types to enhance accuracy of predicting cross-cell type enhancer activities by deep learning YA Tung, JT Wu, CY Chen RECOMB/ISCB conference on regulatory and system genomics with DREAM challenge, 2017 | | 2017 |
| Incorporating Enhancer-Promoter Interactions in Discovering Regulatory Single Nucleotide Polymorphisms M Yang, YA Tung, DC Wu, YJ Oyang, CY Chen RECOMB/ISCB conference on regulatory and system genomics with DREAM challenge, 2017 | | 2017 |
| Exploring Variations on Transcription Factor Binding Sites in Taiwanese Population M Yang, YA Tung, YC Chang, DC Wu, YJ Oyang, CY Chen ISMB, 2017 | | 2017 |
| Identifying newly acquired transcription factor binding site in personal genomes YA Tung, DC Wu, PL Chen, CY Chen Genome Informatics, Wellcome genome campus, 2016 | | 2016 |
| Potential of lncRNA to regulate gene expression through promoter binding in Drosophila Melanogaster MJM Chen, YR Su, P Chang, TR Hong, BW Cherng, YA Tung, CY Chen ECCB, 2016 | | 2016 |
| Discovering potential regulatory variants for Alzheimer’s disease by machine learning CC Hou, YC Chang, YA Tung, YJ Oyang, CY Chen Keystone Symposia Conference, 2016 | | 2016 |
| A Two-layer Predictor for DREAM 9.5 Olfaction Prediction Challenge PH Hsieh, BW Cherng, YC Chang, MY Hong, YA Tung, YJ Oyang, ... RECOMB/ISCB, 2015 | | 2015 |
| POPS: predicting and enhancing protein solubility YA Tung, CC Cho, CH Hsu, CY Chen European Conference on Computational Biology (ECCB), 2014 | | 2014 |
