Author
Institute of Medical Science, The University of TokyoORCID 0000-0002-4921-0936Unclaimed ORCID profile · follow to get notified of new preprints
3 papers
Recent·Most cited
Zeheng Bai, Yaozhong Zhang, Yuxuan Pang, Seiya Imoto
PharaCon uses a conditional BERT framework to improve phage identification in metagenomic data by incorporating label constraints during pre-training.
Yaozhong Zhang, Zeheng Bai, Seiya Imoto
The paper analyzes how a pre-trained BERT model processes nucleotide sequences, identifies k-mer embeddings as key, and proposes an accelerated pre-training method.
Zeheng Bai, Yaozhong Zhang, Satoru Miyano…·Seiya Imoto
The paper introduces INHERIT, a deep learning model that combines database-based and alignment-free methods for phage identification, achieving an F1-score of 0.9932 on a benchmark dataset.