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Guoli Ji

Showing results (11-20 of 74) with videos related to

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Plos One|November 20, 2014
detectIR: a novel program for detecting perfect and imperfect inverted repeats using complex numbers and vector calculationCongting Ye, Guoli Ji, Lei Li, et al.
Briefings in Bioinformatics|December 16, 2021
scIAE: an integrative autoencoder-based ensemble classification framework for single-cell RNA-seq dataQingyang Yin, Yang Wang, Jinting Guan, et al.
Computational Biology and Chemistry|July 11, 2018
A novel feature selection method to predict protein structural classMingshun Yuan, Zijiang Yang, Guangzao Huang, et al.
BMC Bioinformatics|April 11, 2023
Single-nucleus gene and gene set expression-based similarity network fusion identifies autism molecular subtypesJunjie Zhang, Guoli Ji, Xilin Gao, et al.
Cell Research|January 4, 2012
Determinants of public T cell responsesHanjie Li, Congting Ye, Guoli Ji, et al.
Biomedicines|April 30, 2021
Gene Module Analysis Reveals Cell-Type Specificity and Potential Target Genes in Autism's PathogenesisGuoli Ji, Shuchao Li, Lishan Ye, et al.
Methods in Molecular Biology (Clifton, N.J.)|December 10, 2014
Extraction of poly(A) sites from large-scale RNA-Seq dataMin Dong, Guoli Ji, Qingshun Quinn Li, et al.
Briefings in Bioinformatics|November 3, 2020
scAPAtrap: identification and quantification of alternative polyadenylation sites from single-cell RNA-seq dataXiaohui Wu, Tao Liu, Congting Ye, et al.
Journal of Translational Medicine|January 7, 2021
An analytical method for the identification of cell type-specific disease gene modulesJinting Guan, Yiping Lin, Yang Wang, et al.
Journal of Biomedical Informatics|September 5, 2021
scLINE: A multi-network integration framework based on network embedding for representation of single-cell RNA-seq dataHuoyou Li, Xuesong Xiao, Xiaohui Wu, et al.
Pageof 8

Showing results (11-20 of 74) with videos related to

Sort By:
Pageof 8
Plos One|November 20, 2014
detectIR: a novel program for detecting perfect and imperfect inverted repeats using complex numbers and vector calculationCongting Ye, Guoli Ji, Lei Li, et al.
Briefings in Bioinformatics|December 16, 2021
scIAE: an integrative autoencoder-based ensemble classification framework for single-cell RNA-seq dataQingyang Yin, Yang Wang, Jinting Guan, et al.
Computational Biology and Chemistry|July 11, 2018
A novel feature selection method to predict protein structural classMingshun Yuan, Zijiang Yang, Guangzao Huang, et al.
BMC Bioinformatics|April 11, 2023
Single-nucleus gene and gene set expression-based similarity network fusion identifies autism molecular subtypesJunjie Zhang, Guoli Ji, Xilin Gao, et al.
Cell Research|January 4, 2012
Determinants of public T cell responsesHanjie Li, Congting Ye, Guoli Ji, et al.
Biomedicines|April 30, 2021
Gene Module Analysis Reveals Cell-Type Specificity and Potential Target Genes in Autism's PathogenesisGuoli Ji, Shuchao Li, Lishan Ye, et al.
Methods in Molecular Biology (Clifton, N.J.)|December 10, 2014
Extraction of poly(A) sites from large-scale RNA-Seq dataMin Dong, Guoli Ji, Qingshun Quinn Li, et al.
Briefings in Bioinformatics|November 3, 2020
scAPAtrap: identification and quantification of alternative polyadenylation sites from single-cell RNA-seq dataXiaohui Wu, Tao Liu, Congting Ye, et al.
Journal of Translational Medicine|January 7, 2021
An analytical method for the identification of cell type-specific disease gene modulesJinting Guan, Yiping Lin, Yang Wang, et al.
Journal of Biomedical Informatics|September 5, 2021
scLINE: A multi-network integration framework based on network embedding for representation of single-cell RNA-seq dataHuoyou Li, Xuesong Xiao, Xiaohui Wu, et al.
Pageof 8