Hannah K. Wayment-Steele, Wipapat Kladwang, Andrew M. Watkins, Do Soon Kim, Bojan Tunguz, Walter Reade, Maggie Demkin, Jonathan Romano, Roger Wellington-Oguri, John J. Nicol, Jiayang Gao, Kazuki Onodera, Kazuki Fujikawa, Hanfei Mao, Gilles Vandewiele, Michele Tinti, Bram Steenwinckel, Takuya Ito, Taiga Noumi, Shujun He, Keiichiro Ishi, Youhan Lee, Fatih Öztürk, King Yuen Chiu, Emin Öztürk, Karim Amer, Mohamed Fares, Rhiju Das. Deep learning models for predicting RNA degradation via dual crowdsourcing. Nat. Mach. Intell., 4(12):1174-1184, December 2022. [doi]
@article{WaymentSteeleKWKTRDRWNGOFMVTSINHI22,
title = {Deep learning models for predicting RNA degradation via dual crowdsourcing},
author = {Hannah K. Wayment-Steele and Wipapat Kladwang and Andrew M. Watkins and Do Soon Kim and Bojan Tunguz and Walter Reade and Maggie Demkin and Jonathan Romano and Roger Wellington-Oguri and John J. Nicol and Jiayang Gao and Kazuki Onodera and Kazuki Fujikawa and Hanfei Mao and Gilles Vandewiele and Michele Tinti and Bram Steenwinckel and Takuya Ito and Taiga Noumi and Shujun He and Keiichiro Ishi and Youhan Lee and Fatih Öztürk and King Yuen Chiu and Emin Öztürk and Karim Amer and Mohamed Fares and Rhiju Das},
year = {2022},
month = {December},
doi = {10.1038/s42256-022-00571-8},
url = {https://doi.org/10.1038/s42256-022-00571-8},
researchr = {https://researchr.org/publication/WaymentSteeleKWKTRDRWNGOFMVTSINHI22},
cites = {0},
citedby = {0},
journal = {Nat. Mach. Intell.},
volume = {4},
number = {12},
pages = {1174-1184},
}