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ORCIDICBBB 2024: Kyoto, Japan
- Proceedings of the 14th International Conference on Bioscience, Biochemistry and Bioinformatics, ICBBB 2024, Kyoto, Japan, January 12-15, 2024. ACM 2024
- Jianyang Wang
, Bin Ju, Xiaoliang Qian, Minchao Ye, Wanli Huo:
Graph-Based Generative Adversarial Networks for Molecular Generation with Noise Diffusion. 1-6 - Keigo Masuda, Yoshiaki Sota, Hideo Matsuda:
Accurate Detection of Fusion Genes in Long-Read Transcriptome Datasets from Multiple Cancer Cell Lines. 7-13 - Satoshi Ito, Kenji Ono, Satoru Miyano:
Large-scaleWGS Analysis on the supercomputer Fugaku. 14-20 - Simrin Baruah, Debashree Devi:
A comparative analysis of Drug-Target Interaction detection approaches using Ensemble of Machine learning models. 21-29 - Divit Vasu, Seungmoon Song, Hans Kainz, Jeongkyu Lee:
MRI Segmentation of Musculoskeletal Components Using U-Net: Preliminary Results. 30-35 - Yining Chen, Lijie Mi, Yue Zheng, Xiaomei Wu, Min Tang:
A Deep Learning-based Classification Algorithm for the Origin of Premature Ventricular Contractions. 36-43 - Jiyu Xi, Zewen Wei, Zixi Li, Zhanhui Geng:
A dual-function microfluidic chip for single-cell monoclonal antibody affinity screening and functional screening. 44-47 - Nuria Lebeña, Arantza Casillas, Alicia Pérez:
Temporal Name Entity Recognition and Relation Extraction in Clinical Electronic Health Records with Span-based Entity and Relation Transformer. 48-54 - Bo-Lin Chen, Kuan-Ting Hu, Kuo-Sheng Cheng, Chien-Yu Chen:
Automatic CDT Scoring Using Machine Learning with Interpretable Feature. 55-59 - Jiyu Xi, Zewen Wei, Anlan Zhang, Tianjiao Ma:
A Microfluidic chip for monoclonal antibody functional screening. 60-64 - Shiqi Wang:
The Prevalence of Diabetes and Common Factors Associated with Diabetes using the Data of Behavioral Risk Factor Surveillance System. 65-70
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