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| 0 | -- | 0 | Zimo Huang, Jun Wang, Zhongmin Yan, Maozu Guo 0001. Differentially expressed genes prediction by multiple self-attention on epigenetics data |
| 0 | -- | 0 | Wei Liu, Hui Lin, Li Huang, Li Peng, Ting Tang, Qi Zhao, Li Yang. Identification of miRNA-disease associations via deep forest ensemble learning based on autoencoder |
| 0 | -- | 0 | Cheng-Hong Yang 0001, Yu-Huei Cheng, Li-Yeh Chuang, Yu-Da Lin. Multiobjective optimization-driven primer design mechanism: towards user-specified parameters of PCR primer |
| 0 | -- | 0 | Eric Van Buren, Ming Hu, Liang Cheng, John Wrobel, Kirk Wilhelmsen, Lishan Su, Yun Li, Di Wu. TWO-SIGMA-G: a new competitive gene set testing framework for scRNA-seq data accounting for inter-gene and cell-cell correlation |
| 0 | -- | 0 | Lei Wang, Yaqin Tan, Xiaoyu Yang, Linai Kuang, Pengyao Ping. Review on predicting pairwise relationships between human microbes, drugs and diseases: from biological data to computational models |
| 0 | -- | 0 | Xue Zhang, Chen Guang Liu, Shi-Hui Yang, Xia Wang, Feng-Wu Bai, Zhuo Wang. Benchmarking of long-read sequencing, assemblers and polishers for yeast genome |
| 0 | -- | 0 | Kanghao Shao, Yunhao Zhang, Yuqi Wen, Zhongnan Zhang, Song He, Xiaochen Bo. DTI-HETA: prediction of drug-target interactions based on GCN and GAT on heterogeneous graph |
| 0 | -- | 0 | Wenze Ding, Kenta Nakai, Haipeng Gong. Protein design via deep learning |
| 0 | -- | 0 | Ruibo Zhang, Souparno Ghosh, Ranadip Pal. Predicting binding affinities of emerging variants of SARS-CoV-2 using spike protein sequencing data: observations, caveats and recommendations |
| 0 | -- | 0 | Rashmie Abeysinghe, Yuntao Yang, Mason Bartels, W. Jim Zheng, Licong Cui. An evidence-based lexical pattern approach for quality assurance of Gene Ontology relations |
| 0 | -- | 0 | Qiongqiong Feng, Minghua Hou, Jun Liu, Kai-Long Zhao, Guijun Zhang. Construct a variable-length fragment library for de novo protein structure prediction |
| 0 | -- | 0 | Qiang Kang, Jun Meng, Yushi Luan. RNAI-FRID: novel feature representation method with information enhancement and dimension reduction for RNA-RNA interaction |
| 0 | -- | 0 | Weizhong Zhao, Shujie Luo, Haifang Wu, Xingpeng Jiang, Tingting He, Xiaohua Hu 0001. A multi-label learning framework for predicting antibiotic resistance genes via dual-view modeling |
| 0 | -- | 0 | Xia-an Bi, Wenyan Zhou, Sheng Luo, Yuhua Mao, Xi Hu, Bin Zeng 0001, Luyun Xu. Feature aggregation graph convolutional network based on imaging genetic data for diagnosis and pathogeny identification of Alzheimer's disease |
| 0 | -- | 0 | Peng Zhou 0003, Li Wen, Jing Lin, Li Mei, Qian Liu, Shuyong Shang, Juelin Li, Jianping Shu. Integrated unsupervised-supervised modeling and prediction of protein-peptide affinities at structural level |
| 0 | -- | 0 | Ziwei Chen, Fuzhou Gong, Lin Wan, Liang Ma. BiTSC 2: Bayesian inference of tumor clonal tree by joint analysis of single-cell SNV and CNA data |
| 0 | -- | 0 | Zi-Yi Yang, Zhaofeng Ye, Yijia Xiao, Chang-Yu Hsieh, Sheng-yu Zhang. SPLDExtraTrees: robust machine learning approach for predicting kinase inhibitor resistance |
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| 0 | -- | 0 | Meidan Zhao, Pengqian Wang, Kai Zhang. Bioinformatics/network topology analysis of acupuncture in the treatment of COVID-19: response to methodological issues |
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| 0 | -- | 0 | Yi-Yang Feng, Hui Yu, Yue-Hua Feng, Jian-Yu Shi. Directed graph attention networks for predicting asymmetric drug-drug interactions |
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| 0 | -- | 0 | Keilash Chirom, Md. Zubbair Malik, Irengbam Rocky Mangangcha, Pallavi Somvanshi, R. K. Brojen Singh. Network medicine in ovarian cancer: topological properties to drug discovery |
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