Network diffusion for scalable embedding of massive single-cell ATAC-seq data
基于网络扩散的超大规模单细胞染色质开放性数据的可扩展嵌入作者机构:NCMISCEMSRCSDSAcademy of Mathematics and Systems ScienceChinese Academy of SciencesBeijing 100190China School of Mathematical SciencesUniversity of Chinese Academy of SciencesBeijing 100049China Center for Excellence in Animal Evolution and GeneticsChinese Academy of SciencesKunming 650223China Key Laboratory of Systems BiologyHangzhou Institute for Advanced StudyUniversity of Chinese Academy of SciencesHangzhou 310024China
出 版 物:《Science Bulletin》 (科学通报(英文版))
年 卷 期:2021年第66卷第22期
页 面:2271-2276,M0003页
核心收录:
学科分类:0831[工学-生物医学工程(可授工学、理学、医学学位)] 0711[理学-系统科学] 07[理学] 08[工学]
基 金:supported by the National Key R&D Program of China(2019YFA0709501) the National Natural Science Foundation of China(61621003) the National Ten Thousand Talent Program for Young Top-notch Talents,the CAS Frontier Science Research Key Project for Top Young Scientist(QYZDB-SSW-SYS008) the Shanghai Municipal Science and Technology Major Project(2017SHZDZX01)
主 题:数据稀疏性 二值化 扩散算法 超大规模 数据解析 CAN 生物信息学 二部图
摘 要:Cell type-specific genomic regulation is driven by the binding of transcription factors(TFs)in accessible genomic ***,chromatin accessibility can be used to identify cis-regulatory elements and directly depict cellular ***-cell Assay for Transposase-Accessible Chromatin using sequencing(Single-cell ATAC-seq or scATAC-seq)has enabled genome-wide profiling of chromatin accessibility at single-cell resolution and can thus reveal epigenetic heterogeneity at cellular level[1].