iDNA-ABT

:: DESCRIPTION

iDNA-ABT is an advanced deep learning model that utilizes adaptive embedding based on bidirectional transformers for language understanding (BERT) together with a novel transductive information maximization (TIM) loss.

::DEVELOPER

iDNA-ABT team

:: SCREENSHOTS

N/A

:: REQUIREMENTS

• Linux
• Python

iDNA-ABT

:: MORE INFORMATION

Citation

Yu Y, He W, Jin J, Cui L, Zeng R, Wei L.
iDNA-ABT : advanced deep learning model for detecting DNA methylation with adaptive features and transductive information maximization.
Bioinformatics. 2021 Oct 2:btab677. doi: 10.1093/bioinformatics/btab677. Epub ahead of print. PMID: 34601568.