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ICBBS 2023: Singapore
- Proceedings of the 12th International Conference on Bioinformatics and Biomedical Science, ICBBS 2023, Singapore, October 20-22, 2023. ACM 2023
- Jisheng Liang, Zhe Liu, Wenxiang Cai, Yihang Bao, Guan Ning Lin:
Transformers-RNP: Predicting the mutation effect on the stability of Protein-RNA complex with deep learning-based model. 1-6 - Xing Zhao, Huating Wang, Hao Sun:
GENESO: A Framework for Pan-Cancer Classification and Marker Gene Discovery by Symmetrical Occlusion Method Using Deep Learning. 7-16 - Tao-Chuan Shih, Cing-Han Yang, Ying-Ja Chen, Li-Tzu Yeh, Chi-Wei Lu, Tun-Wen Pai:
PepTracR: a Centralized Database for Pathogen Peptides and Neoepitopes based on 3D Structures information and Similarity-search in T-cell Immunotherapy Research. 17-22 - Tingting Feng, Yitong Li, Yue Wu, Jue Wang, Qi Kong:
Identifying Necroptosis Signature Genes Based on Machine Learning for Evaluating COVID-19 Progression. 23-31 - Yuyao Wu:
The Exploring the Impact of Risk Factors on Stroke Occurrence: Insights from a Comprehensive Analysis of a United States Database. 32-38 - Nan Yang, Muwei Jian, Ya Liu:
Polyp Segmentation Network Based on Attention Mechanism. 39-44 - Yuanzhe Ji, Yali Liu, Qiuzhi Song:
Kinematics Modeling and Simulation Analysis of Human Upper Limbs for Rod Lifting. 45-51 - Ziye Chen, Yiming Luo, Yilin Yang, Yushi Li, Jia Wang, Yushan Pan:
3D Printed Hexapod Social Robot. 52-58 - Ke Chen:
Analysis of Arousal and Valence Based on EEG signals: Research on Emotional Analysis. 59-68
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