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Titlebook: Advanced Intelligent Computing in Bioinformatics; 20th International C De-Shuang Huang,Yijie Pan,Qinhu Zhang Conference proceedings 2024 Th

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ChiMamba: Predicting Chromatin Interactions Based on MambaHowever, the high cost of sequencing techniques limits the identification of chromatin interactions across diverse samples. Considering its significance, quite a few deep learning-based methods have recently emerged for computationally detecting chromatin interactions. In this study, we propose ChiM
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CUK-Band: A CUDA-Based Multiple Genomic Sequence Alignment on GPUgh dynamic programming. MSA is a crucial tool for temporal analyses such as classification, aggregation, and speech recognition. The process uses a penalty score to assess the similarity among the sequences, with or without gaps. In bioinformatics, MSA is widely used to identify conserved regions an
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DiagNCF: Diagnosis Neural Collaborative Filtering for Accurate Medical Recommendatione performance, they are seldom applied in medical recommendations due to their lack of interpretability. On the other hand, traditional statistical methods are easily interpretable but often limit in performance. In this study, we propose a novel framework called Diagnosis Neural Collaborative Filte
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Drug Target Affinity Prediction Based on Graph Structural Enhancement and Multi-scale Topological Fedrug development. Various sequence-based and graph-based deep learning models have achieved good performance in drug target affinity (DTA) prediction, but most of them extract features at a single scale, and this approach is deficient in global topological feature extraction. In this paper, we propo
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