| Gene Set Knowledge Discovery with Enrichr Z Xie, A Bailey, MV Kuleshov, DJB Clarke, JE Evangelista, SL Jenkins, ... Current Protocols 1 (3), e90, 2021 | 2231 | 2021 |
| DSigDB: drug signatures database for gene set analysis M Yoo, J Shin, J Kim, KA Ryall, K Lee, S Lee, M Jeon, J Kang, AC Tan Bioinformatics 31 (18), 3069-3071, 2015 | 415 | 2015 |
| Community assessment to advance computational prediction of cancer drug combinations in a pharmacogenomic screen MP Menden, D Wang, MJ Mason, B Szalai, KC Bulusu, Y Guan, T Yu, ... Nature communications 10 (1), 2674, 2019 | 342* | 2019 |
| Assessment of network module identification across complex diseases S Choobdar, ME Ahsen, J Crawford, M Tomasoni, T Fang, D Lamparter, ... Nature methods 16 (9), 843-852, 2019 | 280 | 2019 |
| BEST: next-generation biomedical entity search tool for knowledge discovery from biomedical literature S Lee, D Kim, K Lee, J Choi, S Kim, M Jeon, S Lim, D Choi, S Kim, AC Tan, ... PloS one 11 (10), e0164680, 2016 | 115 | 2016 |
| Can Language Models be Biomedical Knowledge Bases? M Sung, J Lee, S Yi, M Jeon, S Kim, J Kang arXiv preprint arXiv:2109.07154, 2021 | 100 | 2021 |
| Appyters: Turning Jupyter Notebooks into data-driven web apps DJB Clarke, M Jeon, DJ Stein, N Moiseyev, E Kropiwnicki, C Dai, Z Xie, ... Patterns 2 (3), 2021 | 96 | 2021 |
| In silico drug combination discovery for personalized cancer therapy M Jeon, S Kim, S Park, H Lee, J Kang BMC systems biology 12, 59-67, 2018 | 74 | 2018 |
| Crowdsourced mapping of unexplored target space of kinase inhibitors A Cichońska, B Ravikumar, RJ Allaway, F Wan, S Park, O Isayev, S Li, ... Nature communications 12 (1), 1-18, 2021 | 73 | 2021 |
| ReSimNet: drug response similarity prediction using Siamese neural networks M Jeon, D Park, J Lee, H Jeon, M Ko, S Kim, Y Choi, AC Tan, J Kang Bioinformatics 35 (24), 5249-5256, 2019 | 53 | 2019 |
| SigCom LINCS: data and metadata search engine for a million gene expression signatures JE Evangelista, DJB Clarke, Z Xie, A Lachmann, M Jeon, K Chen, ... Nucleic acids research 50 (W1), W697-W709, 2022 | 51 | 2022 |
| Feasibility of using a mobile application for the monitoring and management of stroke-associated risk factors WK Seo, J Kang, M Jeon, K Lee, S Lee, JH Kim, K Oh, SB Koh Journal of Clinical Neurology (Seoul, Korea) 11 (2), 142, 2015 | 48 | 2015 |
| BTNET: boosted tree based gene regulatory network inference algorithm using time-course measurement data S Park, JM Kim, W Shin, SW Han, M Jeon, HJ Jang, IS Jang, J Kang BMC systems biology 12, 69-77, 2018 | 42 | 2018 |
| ARPNet: Antidepressant Response Prediction Network for Major Depressive Disorder B Chang, Y Choi, M Jeon, J Lee, KM Han, A Kim, BJ Ham, J Kang Genes 10 (11), 907, 2019 | 30 | 2019 |
| Community Assessment of the Predictability of Cancer Protein and Phosphoprotein Levels from Genomics and Transcriptomics M Yang, F Petralia, Z Li, H Li, W Ma, X Song, S Kim, H Lee, H Yu, B Lee, ... Cell Systems 11 (2), 186-195. e9, 2020 | 27 | 2020 |
| A pilot study of biomedical text comprehension using an attention-based deep neural reader: Design and experimental analysis S Kim, D Park, Y Choi, K Lee, B Kim, M Jeon, J Kim, AC Tan, J Kang JMIR medical informatics 6 (1), e8751, 2018 | 24 | 2018 |
| HiPub: translating PubMed and PMC texts to networks for knowledge discovery K Lee, W Shin, B Kim, S Lee, Y Choi, S Kim, M Jeon, AC Tan, J Kang Bioinformatics 32 (18), 2886-2888, 2016 | 23 | 2016 |
| Drugmonizome and Drugmonizome-ML: integration and abstraction of small molecule attributes for drug enrichment analysis and machine learning E Kropiwnicki, JE Evangelista, DJ Stein, DJB Clarke, A Lachmann, ... Database 2021, baab017, 2021 | 22 | 2021 |
| Transforming L1000 profiles to RNA-seq-like profiles with deep learning M Jeon, Z Xie, JE Evangelista, ML Wojciechowicz, DJB Clarke, A Ma’ayan BMC bioinformatics 23 (1), 374, 2022 | 15 | 2022 |
| Drug-drug interaction analysis using heterogeneous biological information network K Lee, S Lee, M Jeon, J Choi, J Kang 2012 IEEE International Conference on Bioinformatics and Biomedicine, 1-5, 2012 | 15 | 2012 |
Avi Ma'ayanProfessor, Icahn School of Medicine at Mount Sinai, New York, NY在 mssm.edu 的電子郵件地址已通過驗證
