Minji Jeon

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	Hepsi	2020 yılından bugüne
Alıntılar	4497	4263
h-endeksi	18	17
i10-endeksi	26	24

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Finansman sağlayan kuruluşun getirdiği zorunluluğa dayalı olarak

Katkıda bulunan yazarlar

Avi Ma'ayanProfessor, Icahn School of Medicine at Mount Sinai, New York, NYmssm.edu üzerinde doğrulanmış e-posta adresine sahip
Jaewoo Kang (강재우)Dept of Computer Science and Engineering, Korea Universitykorea.ac.kr üzerinde doğrulanmış e-posta adresine sahip
Alexander LachmannIcahn School of Medicine at Mount Sinaimssm.edu üzerinde doğrulanmış e-posta adresine sahip
Kathleen M. Jagodnik, Ph.D.Harvard Medical School & Massachusetts General Hospital, and Bar-Ilan University, Israelmgh.harvard.edu üzerinde doğrulanmış e-posta adresine sahip
Aik Choon TanHuntsman Cancer Institute, University of Utahhci.utah.edu üzerinde doğrulanmış e-posta adresine sahip
Kyubum LeeAmgenamgen.com üzerinde doğrulanmış e-posta adresine sahip
Sunkyu KimAIGEN Sciences Inc.aigensciences.com üzerinde doğrulanmış e-posta adresine sahip
Jinhyuk LeeGoogle DeepMindgoogle.com üzerinde doğrulanmış e-posta adresine sahip
Gustavo StolovitzkyDirector, Biomed Data Sciences Hub, NYU Langone Health; Prof. Pathology Dep, NYU School of Medicinenyulangone.org üzerinde doğrulanmış e-posta adresine sahip
Sungjoon ParkUniversity of California, San Diegohealth.ucsd.edu üzerinde doğrulanmış e-posta adresine sahip
Junhyun LeeKorea Universitykorea.ac.kr üzerinde doğrulanmış e-posta adresine sahip
Robert AllawaySage Bionetworkssagebionetworks.org üzerinde doğrulanmış e-posta adresine sahip
Justin GuinneyTempustempus.com üzerinde doğrulanmış e-posta adresine sahip
Avner SchlessingerProfessor, Icahn School of Medicine at Mount Sinai, New York, NYmssm.edu üzerinde doğrulanmış e-posta adresine sahip
Tudor OpreaCEO, Expert Systems Incexpertsystems.inc üzerinde doğrulanmış e-posta adresine sahip
Tero AittokallioUniversity of Helsinki, University of Turku, University of Osloutu.fi üzerinde doğrulanmış e-posta adresine sahip

Takip et

Minji Jeon

Department of Biomedical Informatics, Korea University College of Medicine

korea.ac.kr üzerinde doğrulanmış e-posta adresine sahip - Ana Sayfa

AI-driven drug discovery Bioinformatics Machine learning


Başlık Alıntılara göre sırala Yıla göre sırala Başlığa göre sırala	Alıntı yapanlar Alıntı yapanlar	Yıl
Gene Set Knowledge Discovery with Enrichr Z Xie, A Bailey, MV Kuleshov, DJB Clarke, JE Evangelista, SL Jenkins, ... Current Protocols 1 (3), e90, 2021	2427	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	452	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	358*	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	294	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	119	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	107	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	99	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	77	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	76	2021
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	59	2022
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	56	2019
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	32	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	28	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
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	23	2021
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
Getting Started with LINCS Datasets and Tools Z Xie, E Kropiwnicki, ML Wojciechowicz, KM Jagodnik, I Shu, A Bailey, ... Current Protocols 2 (7), e487, 2022	16	2022
Systems immunology-based drug repurposing framework to target inflammation in atherosclerosis L Amadori, C Calcagno, DM Fernandez, S Koplev, N Fernandez, R Kaur, ... Nature cardiovascular research 2 (6), 550-571, 2023	15	2023

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