Reconstructing gene regulatory networks in single-cell transcriptomic data analysis
Hao Dai, 国科学院分子细胞科学卓越创新中心（上海生物化学与细胞生物学研究所）系统生物学重点实验室，上海 200031，中国, Qiqi Jin, Lin Li, Luonan Chen, 张江实验室脑与智能科技研究院，上海 201210，中国, 中国科学院大学，北京 100049，中国, 上海科技大学生命科学与技术学院，上海 201210，中国, 中国科学院大学杭州高等研究院系统生物学重点实验室，浙江 杭州 310024，中国, 中国科学院动物进化与遗传前沿交叉卓越创新中心，云南 昆明 650223，中国
Abstract
Gene regulatory networks play pivotal roles in our understanding of biological processes/mechanisms at the molecular level. Many studies have developed sample-specific or cell-type-specific gene regulatory networks from single-cell transcriptomic data based on a large amount of cell samples. Here, we review the state-of-the-art computational algorithms and describe various applications of gene regulatory networks in biological studies.
Topics & Concepts
Gene regulatory networkComputational biologyTranscriptomeGeneCell typeCellBiologyRegulation of gene expressionBiological networkGene expressionGeneticsSingle-cell and spatial transcriptomicsGene Regulatory Network AnalysisGene expression and cancer classification