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stat.ME2022
A unified quantile framework for nonlinear heterogeneous transcriptome-wide associations
Tianying Wang, Iuliana Ionita-Laza, Ying Wei
Transcriptome-wide association studies (TWAS) are powerful tools for identifying gene-level associations by integrating genome-wide association studies and gene expression data. Ho…
cs.RO2022
End-to-end Reinforcement Learning of Robotic Manipulation with Robust Keypoints Representation
Tianying Wang, En Yen Puang, Marcus Lee +2
We present an end-to-end Reinforcement Learning(RL) framework for robotic manipulation tasks, using a robust and efficient keypoints representation. The proposed method learns keyp…