Machine learning-based prediction of drug-drug interactions by integrating drug phenotypic, therapeutic, chemical, and genomic properties von Cheng, Feixiong, Zhao, Zhongming

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Computational tools for copy number variation (CNV) detection using next-generation sequencing data: features and perspectives von Zhao, Min, Wang, Qingguo, Wang, Quan, Jia, Peilin, Zhao, Zhongming

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Circular RNA expression profiles and features in human tissues: a study using RNA-seq data von Xu, Tianyi, Wu, Jing, Han, Ping, Zhao, Zhongming, Song, Xiaofeng

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Advances in computational approaches for prioritizing driver mutations and significantly mutated genes in cancer genomes von Cheng, Feixiong, Zhao, Junfei, Zhao, Zhongming

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VarWalker: personalized mutation network analysis of putative cancer genes from next-generation sequencing data von Jia, Peilin, Zhao, Zhongming

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Explanation-Driven Deep Learning Model for Prediction of Brain Tumour Status Using MRI Image Data von Gaur, Loveleen, Bhandari, Mohan, Razdan, Tanvi, Mallik, Saurav, Zhao, Zhongming

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deTS: tissue-specific enrichment analysis to decode tissue specificity von Pei, Guangsheng, Dai, Yulin, Zhao, Zhongming, Jia, Peilin

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Comparison of five supervised feature selection algorithms leading to top features and gene signatures from multi-omics data in cancer von Bhadra, Tapas, Mallik, Saurav, Hasan, Neaj, Zhao, Zhongming

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Gene2vec: distributed representation of genes based on co-expression von Du, Jingcheng, Jia, Peilin, Dai, Yulin, Tao, Cui, Zhao, Zhongming, Zhi, Degui

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6mA-Finder: a novel online tool for predicting DNA N6-methyladenine sites in genomes von Xu, Haodong, Hu, Ruifeng, Jia, Peilin, Zhao, Zhongming

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VirusFinder: software for efficient and accurate detection of viruses and their integration sites in host genomes through next generation sequencing data von Wang, Qingguo, Jia, Peilin, Zhao, Zhongming

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Decoding critical long non-coding RNA in ovarian cancer epithelial-to-mesenchymal transition von Mitra, Ramkrishna, Chen, Xi, Greenawalt, Evan J., Maulik, Ujjwal, Jiang, Wei, Zhao, Zhongming, Eischen, Christine M.

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Detecting methylation signatures in neurodegenerative disease by density-based clustering of applications with reducing noise von Mallik, Saurav, Zhao, Zhongming

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Characterization of Tumor-Suppressor Gene Inactivation Events in 33 Cancer Types von Jia, Peilin, Zhao, Zhongming

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Dimensionality Reduction and Louvain Agglomerative Hierarchical Clustering for Cluster-Specified Frequent Biomarker Discovery in Single-Cell Sequencing Data von Seth, Soumita, Mallik, Saurav, Bhadra, Tapas, Zhao, Zhongming

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NetBCE: An Interpretable Deep Neural Network for Accurate Prediction of Linear B-cell Epitopes von Xu, Haodong, Zhao, Zhongming

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dmGWAS: dense module searching for genome-wide association studies in protein-protein interaction networks von Jia, Peilin, Zheng, Siyuan, Long, Jirong, Zheng, Wei, Zhao, Zhongming

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Deep generative neural network for accurate drug response imputation von Jia, Peilin, Hu, Ruifeng, Pei, Guangsheng, Dai, Yulin, Wang, Yin-Ying, Zhao, Zhongming

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scGWAS: landscape of trait-cell type associations by integrating single-cell transcriptomics-wide and genome-wide association studies von Jia, Peilin, Hu, Ruifeng, Yan, Fangfang, Dai, Yulin, Zhao, Zhongming

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Differential Expression of Viral Transcripts From Single-Cell RNA Sequencing of Moderate and Severe COVID-19 Patients and Its Implications for Case Severity von Liu, Teng, Jia, Peilin, Fang, Bingliang, Zhao, Zhongming

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