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Frontiers in Cellular Neuroscience
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April 9, 2020
Cell Type-Specific Gene Network-Based Analysis Depicts the Heterogeneity of Autism Spectrum Disorder
Jinting Guan, Yiping Lin, Guoli Ji
Bioinformatics (Oxford, England)
|
July 1, 2024
SFINN: inferring gene regulatory network from single-cell and spatial transcriptomic data with shared factor neighborhood and integrated neural network
Yongjie Wang, Fengfan Zhou, Jinting Guan
Briefings in Bioinformatics
|
June 28, 2025
scTsI: an effective two-stage imputation method for single-cell RNA-seq data
Hongyu Zhang, Weining Li, Jinting Guan
Briefings in Bioinformatics
|
April 11, 2024
scINRB: single-cell gene expression imputation with network regularization and bulk RNA-seq data
Yue Kang, Hongyu Zhang, Jinting Guan
BMC Genomics
|
September 18, 2024
Deconvolution from bulk gene expression by leveraging sample-wise and gene-wise similarities and single-cell RNA-Seq data
Chenqi Wang, Yifan Lin, Shuchao Li, et al.
Biomedicines
|
April 30, 2021
Gene Module Analysis Reveals Cell-Type Specificity and Potential Target Genes in Autism's Pathogenesis
Guoli Ji, Shuchao Li, Lishan Ye, et al.
IEEE Transactions on Computational Biology and Bioinformatics
|
December 17, 2025
MISF: Multimodal Data Integration through Adaptive Similarity Learning and Matrix Factorization
Fengfan Zhou, Xinqi Chen, Yusheng Jiang, et al.
BMC Bioinformatics
|
April 11, 2023
Single-nucleus gene and gene set expression-based similarity network fusion identifies autism molecular subtypes
Junjie Zhang, Guoli Ji, Xilin Gao, et al.
Frontiers in Genetics
|
June 1, 2022
Shared and Cell-Type-Specific Gene Expression Patterns Associated With Autism Revealed by Integrative Regularized Non-Negative Matrix Factorization
Jinting Guan, Yan Zhuang, Yue Kang, et al.
Briefings in Bioinformatics
|
December 16, 2021
scIAE: an integrative autoencoder-based ensemble classification framework for single-cell RNA-seq data
Qingyang Yin, Yang Wang, Jinting Guan, et al.
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of 3
Search research articles
Search
Showing results (1-10 of 21) with videos related to
Sort By:
Page
of 3
Frontiers in Cellular Neuroscience
|
April 9, 2020
Cell Type-Specific Gene Network-Based Analysis Depicts the Heterogeneity of Autism Spectrum Disorder
Jinting Guan, Yiping Lin, Guoli Ji
Bioinformatics (Oxford, England)
|
July 1, 2024
SFINN: inferring gene regulatory network from single-cell and spatial transcriptomic data with shared factor neighborhood and integrated neural network
Yongjie Wang, Fengfan Zhou, Jinting Guan
Briefings in Bioinformatics
|
June 28, 2025
scTsI: an effective two-stage imputation method for single-cell RNA-seq data
Hongyu Zhang, Weining Li, Jinting Guan
Briefings in Bioinformatics
|
April 11, 2024
scINRB: single-cell gene expression imputation with network regularization and bulk RNA-seq data
Yue Kang, Hongyu Zhang, Jinting Guan
BMC Genomics
|
September 18, 2024
Deconvolution from bulk gene expression by leveraging sample-wise and gene-wise similarities and single-cell RNA-Seq data
Chenqi Wang, Yifan Lin, Shuchao Li, et al.
Biomedicines
|
April 30, 2021
Gene Module Analysis Reveals Cell-Type Specificity and Potential Target Genes in Autism's Pathogenesis
Guoli Ji, Shuchao Li, Lishan Ye, et al.
IEEE Transactions on Computational Biology and Bioinformatics
|
December 17, 2025
MISF: Multimodal Data Integration through Adaptive Similarity Learning and Matrix Factorization
Fengfan Zhou, Xinqi Chen, Yusheng Jiang, et al.
BMC Bioinformatics
|
April 11, 2023
Single-nucleus gene and gene set expression-based similarity network fusion identifies autism molecular subtypes
Junjie Zhang, Guoli Ji, Xilin Gao, et al.
Frontiers in Genetics
|
June 1, 2022
Shared and Cell-Type-Specific Gene Expression Patterns Associated With Autism Revealed by Integrative Regularized Non-Negative Matrix Factorization
Jinting Guan, Yan Zhuang, Yue Kang, et al.
Briefings in Bioinformatics
|
December 16, 2021
scIAE: an integrative autoencoder-based ensemble classification framework for single-cell RNA-seq data
Qingyang Yin, Yang Wang, Jinting Guan, et al.
Page
of 3