TransformerCPI: improving compound–protein interaction prediction by sequence-based deep learning with self-attention mechanism and label reversal experiments

Authors

Lifan Chen

Published

May 14, 2020

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Journal

Bioinformatics

Topics

DOI

10.1093/bioinformatics/btaa524

TransformerCPI: improving compound–protein interaction prediction by sequence-based deep learning with self-attention mechanism and label reversal experiments

Authors

Lifan Chen

Published

May 14, 2020

Add a comment...

Supporters

Support the authors with ResearchCoin

Journal

Bioinformatics

Topics

DOI

10.1093/bioinformatics/btaa524

Paper

Paper

Paper

Paper

TransformerCPI: improving compound–protein interaction prediction by sequence-based deep learning with self-attention mechanism and label reversal experiments

Supporters

Journal

Topics

DOI

TransformerCPI: improving compound–protein interaction prediction by sequence-based deep learning with self-attention mechanism and label reversal experiments

Supporters

Journal

Topics

DOI