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q-bio.QM2022
Attention-aware contrastive learning for predicting T cell receptor-antigen binding specificity
Yiming Fang, Xuejun Liu, Hui Liu
It has been verified that only a small fraction of the neoantigens presented by MHC class I molecules on the cell surface can elicit T cells. The limitation can be attributed to th…
q-bio.BM2022
Attention-wise masked graph contrastive learning for predicting molecular property
Hui Liu, Yibiao Huang, Xuejun Liu +1
Accurate and efficient prediction of the molecular properties of drugs is one of the fundamental problems in drug research and development. Recent advancements in representation le…
cs.CV2022
Contrastive learning-based computational histopathology predict differential expression of cancer driver genes
Haojie Huang, Gongming Zhou, Xuejun Liu +4
Digital pathological analysis is run as the main examination used for cancer diagnosis. Recently, deep learning-driven feature extraction from pathology images is able to detect ge…