Editorial: Methods for Single-Cell and Microbiome Sequencing Data

被引：0

作者：

Mallick, Himel ^{[1
]}

An, Lingling ^{[2
,3
,4
]}

Chen, Mengjie ^{[5
]}

Wang, Pei ^{[6
,7
]}

Zhao, Ni ^{[8
]}

机构：

[1] Merck & Co Inc, Biostat & Res Decis Sci, Rahway, NJ 07065 USA

[2] Univ Arizona, Interdisciplinary Program Stat & Data Sci, Tucson, AZ USA

[3] Univ Arizona, Dept Epidemiol & Biostat, Tucson, AZ USA

[4] Univ Arizona, Dept Biosyst Engn, Tucson, AZ USA

[5] Univ Chicago, Dept Human Genet, Dept Med, Chicago, IL USA

[6] Icahn Sch Med Mt Sinai, Tisch Canc Inst, New York, NY USA

[7] Icahn Sch Med Mt Sinai, Dept Genet & Genom Sci, New York, NY USA

[8] Johns Hopkins Univ, Dept Biostat, Bloomberg Sch Publ Hlth, Baltimore, MD USA

来源：

FRONTIERS IN GENETICS | 2022年 / 13卷

关键词：

microbiome; single-cell; omics; data science; multi-omics; statistics; biostatistics; computational biology;

D O I：

10.3389/fgene.2022.920191

中图分类号：

Q3 [遗传学];

学科分类号：

071007 ; 090102 ;

摘要：

引用

页数：3

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