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ICBBB 2021: Tokyo, Japan
- ICBBB 2021: 11th International Conference on Bioscience, Biochemistry and Bioinformatics, Tokyo, Japan. ACM 2021, ISBN 978-1-4503-8804-7
- Yiping Wang, Guixia Kang, Lijun Liu, Qingsong Huang:
Automatic Assistance Method for Disease Diagnosis Based on a Deep Learning Fusion Model and Chinese Electronic Medical Record. 1-8 - Ziang Xu, Haoyu Qi:
Machine Learning Facilitates Imputation of Gene Expression Levels across Multiple Environments. 9-12 - Mithra V. Karamchedu:
Using Genetic Algorithms to Model Microbiome Coevolutionary Dynamics and Dysbiosis Due to Environmental and Pharmaceutical Stressors. 13-21 - Yuan Liu, Xiaolong Zhang, Xiaoli Lin:
Incorporating FPConv-DTI Deep Learning Network and Borderline-SMOTE Algorithm for Predicting Drug-Target Interactions. 22-32 - Yuhao Wang:
Rapid Identification of Potential Inhibitors of Bruton's Tyrosine Kinase (BTK) by Structure-based Virtual Screening. 33-36 - Banghua Yang, Du Li, BaiHeng Ma, Xuelin Gu, Dewen Kong:
Motor Imagery EEG Classification Method Based on Adaptive Decision Surface of LDA Classifier. 37-41 - Changyi Sun:
The Progress of IPS Therapy on the Heart and Neural Disease. 42-46 - Zihan Wang, Yingfei Sun, Jiankang Wu, Kunkun Zhao:
Evaluation of Upper Limb Muscle Function Based on Muscle Activation Sequence. 47-51 - Changshen Chen:
Investigation of Potential Inhibitors of Brown Adipose Tissue Induced Thermogenesis. 52-60 - Xin Sun:
High CD34 Expression Level Associated with Prolonged Liver and Stomach Cancer Survival. 61-65 - Dan Zhao, Zhipei Huang, Jiankang Wu:
Multiscale Entropy Analysis of Blood Pressure Variability in Dahl Salt-sensitive Rats. 66-70 - Tong Gao:
Constructing Crystalline Molecular Dipolar Rotor Arrays with Ultra-Large Dipole Moments. 71-76
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