Social networks and protest participation: Evidence from 130 million Twitter users JM Larson, J Nagler, J Ronen, JA Tucker American Journal of Political Science 63 (3), 690-705, 2019 | 162 | 2019 |
Evaluation of colorectal cancer subtypes and cell lines using deep learning J Ronen, S Hayat, A Akalin Life science alliance 2 (6), 2019 | 91 | 2019 |
netSmooth: Network-smoothing based imputation for single cell RNA-seq J Ronen, A Akalin F1000Research 7, 2018 | 73 | 2018 |
PiGx: reproducible genomics analysis pipelines with GNU Guix R Wurmus, B Uyar, B Osberg, V Franke, A Gosdschan, K Wreczycka, ... Gigascience 7 (12), giy123, 2018 | 71 | 2018 |
Political knowledge and misinformation in the era of social media: Evidence from the 2015 UK election K Munger, P Egan, J Nagler, J Ronen, JA Tucker British Journal of Political Science, 1-21, 2020 | 46* | 2020 |
Identifying tumor cells at the single-cell level using machine learning J Dohmen, A Baranovskii, J Ronen, B Uyar, V Franke, A Akalin Genome Biology 23 (1), 123, 2022 | 41 | 2022 |
Computational genomics with R A Akalin Chapman and Hall/CRC, 2020 | 33 | 2020 |
Functional interplay of Epstein-Barr virus oncoproteins in a mouse model of B cell lymphomagenesis T Sommermann, T Yasuda, J Ronen, T Wirtz, T Weber, U Sack, R Caeser, ... Proceedings of the National Academy of Sciences 117 (25), 14421-14432, 2020 | 22 | 2020 |
On stabilization of switched linear systems Z Artstein, J Ronen Systems & control letters 57 (11), 919-926, 2008 | 10 | 2008 |
PiGx: reproducible genomics analysis pipelines with GNU Guix. GigaScience 7 R Wurmus, B Uyar, B Osberg, V Franke, A Gosdschan, K Wreczycka, ... | 7 | 2018 |
Multi-omics and deep learning provide a multifaceted view of cancer B Uyar, J Ronen, V Franke, G Gargiulo, A Akalin bioRxiv, 2021.09. 29.462364, 2021 | 6 | 2021 |
Boundary Control of the Gas Coning Problem J Ronen Institutt for teknisk kybernetikk, 2010 | 4 | 2010 |
The impact of social media use on voter knowledge and behavior in the 2015 UK election: Evidence from a panel survey K Munger, P Egan, J Nagler, J Ronen, JA Tucker New York, NY, USA. Retrieved from https://nyugradpeseminar. files. wordpress …, 2015 | 3 | 2015 |
Decoding single-cell multiomics: scMaui-A deep learning framework for uncovering cellular heterogeneity in presence of batch Effects and missing data Y Jeong, J Ronen, W Kopp, P Lutsik, A Akalin bioRxiv, 2023.01. 18.524506, 2023 | 1 | 2023 |
scMaui: a widely applicable deep learning framework for single-cell multiomics integration in the presence of batch effects and missing data Y Jeong, J Ronen, W Kopp, P Lutsik, A Akalin BMC bioinformatics 25 (1), 257, 2024 | | 2024 |
Method for analysis of omics data V Franke, U Bora, J Ronen, A Akalin US Patent App. 18/274,271, 2024 | | 2024 |
Redefining cancer subtypes using multi-omics and deep learning A Akalin, B Uyar, J Ronen, V Franke Cancer Research 81 (13_Supplement), 196-196, 2021 | | 2021 |
Integrative analysis of data from multiple experiments J Ronen Humboldt-Universität zu Berlin, 2020 | | 2020 |
single cell RNA-seq [version 2; referees: 2 approved] J Ronen, A Akalin | | 2018 |
Predicting legislators’ votes on the government shutdown using Twitter I Cioroianu, J Nagler, J Tucker, D Penfold-Brown, J Ronen, P Barberá, ... NYU Social Media and Political Participation (SMaPP) Lab, 1800 | | 1800 |