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of 7
pro vyhledávání: '"Xiao, Feiyi"'
In applications such as gene regulatory network analysis based on single-cell RNA sequencing data, samples often come from a mixture of different populations and each population has its own unique network. Available graphical models often assume that
Externí odkaz:
http://arxiv.org/abs/2212.03665
Gene regulatory network (GRN) refers to the complex network formed by regulatory interactions between genes in living cells. In this paper, we consider inferring GRNs in single cells based on single cell RNA sequencing (scRNA-seq) data. In scRNA-seq,
Externí odkaz:
http://arxiv.org/abs/2205.11274
Gene regulatory network inference is crucial for understanding the complex molecular interactions in various genetic and environmental conditions. The rapid development of single-cell RNA sequencing (scRNA-seq) technologies unprecedentedly enables ge
Externí odkaz:
http://arxiv.org/abs/2111.04037
Autor:
Li, Xue, Li, Rui, Li, Meixuan, Yao, Liang, Van Spall, Harriette, Zhao, Kun, Chen, Yunxiang, Xiao, Feiyi, Fu, Qiang, Xie, Feng
Publikováno v:
In Value in Health August 2024 27(8):1130-1148
Autor:
Li, Xue, Li, Rui, Xiao, Feiyi, Zhao, Kun, Zhang, Xiaolu, Wang, Xinyi, Li, Meichen, Guo, Ke, Wang, Li, Wu, Yanan, Van Spall, Harriette, Gao, Tiantian, Fu, Qiang, Xie, Feng
Publikováno v:
In Value in Health April 2024 27(4):490-499
Publikováno v:
Quantitative Biology; Dec2024, Vol. 12 Issue 4, p375-388, 14p
Akademický článek
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