Modelling cell type-specific lncRNA regulatory network in autism with Cycle

Overall, these results illustrate that Cycle is a promising method to model the landscape of cell type-specific lncRNA regulation, and provides insights into understanding the heterogeneity of lncRNA regulation between various ASD cell types.

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Publication Details

Journal
BMC Bioinformatics
Published
2024-09-27
DOI
https://doi.org/10.1186/s12859-024-05933-0
Citations
3
Primary Topic
Cancer-related molecular mechanisms research
Type
article
Field-Weighted Citation Impact
0.86

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article

Modelling cell type-specific lncRNA regulatory network in autism with Cycle

Xuemei Wei, Chenchen Xiong, Chunwen Zhao, Junpeng Zhang et al.
3 citations
BMC Bioinformatics
Cancer-related molecular mechanisms research
0.86
article

Modelling cell type-specific lncRNA regulatory network in autism with Cycle

Xuemei Wei, Chenchen Xiong, Chunwen Zhao, Junpeng Zhang, Mingfang Zhang, Haolin Yang
article en
3 citations

Abstract

Overall, these results illustrate that Cycle is a promising method to model the landscape of cell type-specific lncRNA regulation, and provides insights into understanding the heterogeneity of lncRNA regulation between various ASD cell types.

BMC BioinformaticsVol. 25(1)
Beijing VDJBio (China) (CN), Beijing Computing Center (CN), Dali University (CN)
National Natural Science Foundation of China, Applied Basic Research Foundation of Yunnan Province
Openalex Percentile: Top 25%
Cancer-related molecular mechanisms research
0.86
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Modelling cell type-specific lncRNA regulatory network in autism with Cycle — Xuemei Wei, Chenchen Xiong, et al. · BMC Bioinformatics (2024) | TGRS Research Map | TGRS