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
收藏
页数：3
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