Program
The workshop is held in hybrid mode.
The date and time of paper presentations will be announced soon, after confirmation from the BIBM conference.
Each paper presented online will have an online meeting link for presentation given on this page.
The accepted papers are:
| 1 | Yuxi Lin, Yaxue Fang, Zehong Zhang, Zhouwu Liu, Siyun Zhong, Zhongfang Wang, and Fulong Yu, Decoding Translation-Related Functional Sequences in 5’ UTRs Using Interpretable Deep Learning Models |
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| 2 | Mahshad Hashemi, Sharjeel Mustafa, Alioune Ngom, and Luis Rueda, HeteroGraphNet: A Ligand–Receptor Informed, Heterophily-Adapted Graph Neural Network for Cell Type Prediction in scRNA-seq Data |
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| 3 | Xu Wang, Yiquan Wang, Longji Xu, Yuhua Dong, Tin-Yeh Huang, Xiang Li, Jia Deng, and Rui He, Octopus Inspired Optimization (OIO): A Hierarchical Framework for Navigating Protein Fitness Landscapes |
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| 4 | M. Zohaib Nawaz, M. Saqib Nawaz, Fournier-Viger Philippe, Xinzheng Niu, and Mengqiu Li, A Multipurpose Protein Compressor based on MDL and Genetic Algorithm |
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| 5 | Wenxi Zhu, Wensheng Gan, and Zhenlian Qi, Leveraging Negative Sequential Patterns for Advanced Genomic Analysis and Classification |
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| 6 | Jiafan Miao, Panpan Hou, and Tian Tian, Inferring transcription factor regulatory networks from spatial ATAC-seq data by dependency-aware graph neural networks |
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| 7 | Zhijin Wang, Yue Hu, Yonggang Fu, Zhuorui Wu, Jing Cao, Xiufeng Liu, and Fournier-Viger Philippe, G-Shapelets: Predicting Longitudinal Gene Expression Dynamics via Interpretable Multi-Scale Temporal Motifs |
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| 8 | Meng Huang, Yu He, Yiheng Zhang, Ming Li, Kang Mei, Jian Zhang, and Heng Zhang, "AGFN: A Multi-source Data Fusion Transformer Framework for Multi-trait Genetic Prediction in Oyster Aquaculture |
