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Single-nucleus gene and gene set expression-based similarity network fusion identifies autism molecular subtypes., , , and . BMC Bioinform., 24 (1): 142 (December 2023)Genome-wide identification and predictive modeling of polyadenylation sites in eukaryotes., , , , and . Briefings Bioinform., 16 (2): 304-313 (2015)Composite Nonlinear Feedback Control for Cooperative Output Regulation of Linear Multi-Agent Systems with Input Saturation., , , and . CDC, page 2397-2402. IEEE, (2023)Gene Screening for Autism Based on Cell-type-specific Predictive Models., , , and . BIBM, page 2090-2096. IEEE, (2020)Human brain cell type-specific gene co-expression associated with autism spectrum disorder., , , and . BIBM, page 2083-2089. IEEE, (2019)scIAE: an integrative autoencoder-based ensemble classification framework for single-cell RNA-seq data., , , and . Briefings Bioinform., (2022)AEGS: identifying aberrantly expressed gene sets for differential variability analysis., , , , and . Bioinform., 34 (5): 881-883 (2018)VAAPA: A web platform for visualization and analysis of alternative polyadenylation., , , , , , and . Comput. Biol. Medicine, (2015)A new small-world network model for instant messaging chat network., , , , , and . SoSE, page 1-5. IEEE, (2016)MOCSC: a multi-omics data based framework for cancer subtype classification., and . BIBM, page 2853-2859. IEEE, (2022)