Computational Methods for Single-cell Multi-omics Integration and Alignment.
Computational Methods for Single-cell Multi-omics Integration and Alignment.
复制标题
单细胞多组学整合和比对的计算方法。
DOI:
10.1016/j.gpb.2022.11.013
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发表时间:
2022-10
影响因子:
9.5
通讯作者:
Garmire, Lana X.
中科院分区:
文献类型:
--
作者:
Stanojevic, Stefan;Li, Yijun;Ristivojevic, Aleksandar;Garmire, Lana X.
Recently developed technologies to generate single-cell genomic data have made a revolutionary impact in the field of biology. Multi-omics assays offer even greater opportunities to understand cellular states and biological processes. The problem of integrating different omics data with very different dimensionality and statistical properties remains, however, quite challenging. A growing body of computational tools is being developed for this task, leveraging ideas ranging from machine translation to the theory of networks, and represents another frontier on the interface of biology and data science. Our goal in this review is to provide a comprehensive, up-to-date survey of computational techniques for the integration of single-cell multi-omics data, while making the concepts behind each algorithm approachable to a non-expert audience.
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DOI:
10.1126/science.aau0730
发表时间:
2018-09-28
期刊:
Science (New York, N.Y.)
影响因子:
--
作者:
Cao J;Cusanovich DA;Ramani V;Aghamirzaie D;Pliner HA;Hill AJ;Daza RM;McFaline-Figueroa JL;Packer JS;Christiansen L;Steemers FJ;Adey AC;Trapnell C;Shendure J
通讯作者:
Shendure J
影响因子:
6
作者:
Adossa N;Khan S;Rytkönen KT;Elo LL
通讯作者:
Elo LL
影响因子:
5.8
作者:
Cao, Kai;Bai, Xiangqi;Wan, Lin
通讯作者:
Wan, Lin
DOI:
10.1093/bioinformatics/btab594
发表时间:
2021-12-22
期刊:
Bioinformatics (Oxford, England)
影响因子:
--
作者:
Cao K;Hong Y;Wan L
通讯作者:
Wan L
影响因子:
46.9
作者:
Gao C;Liu J;Kriebel AR;Preissl S;Luo C;Castanon R;Sandoval J;Rivkin A;Nery JR;Behrens MM;Ecker JR;Ren B;Welch JD
通讯作者:
Welch JD