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Robust Self-training Strategy for Various Molecular Biology Prediction Tasks∗
(ACM, 2022-08-10)
Molecular biology prediction tasks suffer the limited labeled data
problem since it normally demands a series of professional experiments to label the target molecule. Self-training is one of the
semi-supervised learning ...
MoDNA: Motif-Oriented Pre-training For DNA Language Model
(ACM, 2022-08-10)
Obtaining informative representations of gene expression is crucial
in predicting various downstream regulatory-related tasks such as
promoter prediction and transcription factor binding sites prediction. Nevertheless, ...
DEEP LEARNING FOR MOLECULAR PROPERTY PREDICTION
(2023-08-14)
Drug discovery has always been a crucial task for society, and molecular property prediction is one of the fundamental problem. It is responsible for identifying the target properties or severe side-effects, so that certain ...