Integrating single-cell transcriptomic data across different conditions, technologies, and species

被引：0
|
作者：
Andrew Butler
Paul Hoffman
Peter Smibert
Efthymia Papalexi
Rahul Satija
机构：
[1] New York Genome Center,
[2] Center for Genomics and Systems Biology,undefined
[3] New York University,undefined
来源：
Nature Biotechnology | 2018年 / 36卷
关键词：
D O I：
暂无
中图分类号：
学科分类号：
摘要：
A new computational approach enables integrative analysis of disparate single-cell RNA–sequencing data sets by identifying shared patterns of variation between cell subpopulations.
引用
收藏
页码：411 / 420
页数：9
相关论文
共 50 条
  • [31] Deciphering single-cell transcriptional programs across species
    Li, Jiaqi
    Guo, Guoji
    NATURE GENETICS, 2022, 54 (11) : 1595 - 1596
  • [32] Integrating Bulk and Single-Cell Transcriptomic Data to Identify Ferroptosis-Associated Gene in Alzheimer's Disease
    Zhou, Huiqin
    Peng, Yunjia
    Huo, Xinhua
    Li, Bingqing
    Liu, Huasheng
    Wang, Jian
    Zhang, Gaihua
    JOURNAL OF INFLAMMATION RESEARCH, 2025, 18 : 2105 - 2122
  • [33] Integrating phylogenies into single-cell RNA sequencing analysis allows comparisons across species, genes, and cells
    Church, Samuel H.
    Mah, Jasmine L.
    Dunn, Casey W.
    PLOS BIOLOGY, 2024, 22 (05)
  • [34] Opportunities for Single-Cell Sequencing Technologies and Data Science
    Mustachio, Lisa Maria
    Roszik, Jason
    CANCERS, 2020, 12 (11)
  • [35] Single-cell multiomics: technologies and data analysis methods
    Jeongwoo Lee
    Do Young Hyeon
    Daehee Hwang
    Experimental & Molecular Medicine, 2020, 52 : 1428 - 1442
  • [36] Single-cell multiomics: technologies and data analysis methods
    Lee, Jeongwoo
    Hyeon, Do Young
    Hwang, Daehee
    EXPERIMENTAL AND MOLECULAR MEDICINE, 2020, 52 (09): : 1428 - 1442
  • [37] Cross-species imputation and comparison of single-cell transcriptomic profiles
    Zhang, Ran
    Yang, Mu
    Schreiber, Jacob
    O'Day, Diana R.
    Turner, James M. A.
    Shendure, Jay
    Noble, William Stafford
    Disteche, Christine M.
    Deng, Xinxian
    GENOME BIOLOGY, 2025, 26 (01):
  • [38] DRscDB: A single-cell RNA-seq resource for data mining and data comparison across species
    Hu Y.
    Tattikota S.G.
    Liu Y.
    Comjean A.
    Gao Y.
    Forman C.
    Kim G.
    Rodiger J.
    Papatheodorou I.
    dos Santos G.
    Mohr S.E.
    Perrimon N.
    Computational and Structural Biotechnology Journal, 2021, 19 : 2018 - 2026
  • [39] Cell type evolution reconstruction across species through cell phylogenies of single-cell RNA sequencing data
    Jasmine L. Mah
    Casey W. Dunn
    Nature Ecology & Evolution, 2024, 8 : 325 - 338
  • [40] Cell type evolution reconstruction across species through cell phylogenies of single-cell RNA sequencing data
    Mah, Jasmine L.
    Dunn, Casey W.
    NATURE ECOLOGY & EVOLUTION, 2024, 8 (02) : 325 - 338
12345