no code implementations • 11 Oct 2021 • Shentong Mo, Xi Fu, Chenyang Hong, Yizhen Chen, Yuxuan Zheng, Xiangru Tang, Zhiqiang Shen, Eric P Xing, Yanyan Lan
The core problem is to model how regulatory elements interact with each other and its variability across different cell types.
no code implementations • NeurIPS Workshop AI4Scien 2021 • Shentong Mo, Xi Fu, Chenyang Hong, Yizhen Chen, Yuxuan Zheng, Xiangru Tang, Yanyan Lan, Zhiqiang Shen, Eric Xing
In this work, we propose a simple yet effective approach for pre-training genome data in a multi-modal and self-supervised manner, which we call GeneBERT.
2 code implementations • 3 Feb 2021 • Shang Wang, Peiming Yang, Yuxuan Zheng, Xin Li, Gennady Pekhimenko
Driven by the tremendous effort in researching novel deep learning (DL) algorithms, the training cost of developing new models increases staggeringly in recent years.
