Biology-inspired data-driven quality control for scientific discovery in single-cell transcriptomics

被引：0
|
作者：
Ayshwarya Subramanian
Mikhail Alperovich
Yiming Yang
Bo Li
机构：
[1] Klarman Cell Observatory,Center for Immunology and Inflammatory Diseases, Department of Medicine
[2] Broad Institute of MIT and Harvard,undefined
[3] Brigham and Womens’s Hospital,undefined
[4] Harvard Medical School,undefined
[5] MIT PRIMES,undefined
[6] Massachusetts Institute of Technology,undefined
[7] Lexington High School,undefined
[8] Present Address: Wake Technical Community College,undefined
[9] Massachusetts General Hospital,undefined
[10] Present Address: Department of Cellular and Tissue Genomics,undefined
[11] Genentech Inc.,undefined
[12] Department of Medicine,undefined
[13] Harvard Medical School,undefined
来源：
Genome Biology | / 23卷
关键词：
scRNA-seq; Quality control (QC); Data-driven; Single cell; Adaptive QC; Exploratory data analysis (EDA); Biological variation;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
相关论文
共 50 条
  • [11] Accelerating Data-Driven Discovery With Scientific Asset Management
    Schuler, Robert E.
    Kesselman, Carl
    Czajkowski, Karl
    [J]. PROCEEDINGS OF THE 2016 IEEE 12TH INTERNATIONAL CONFERENCE ON E-SCIENCE (E-SCIENCE), 2016, : 31 - 40
  • [12] Non-Markovian data-driven modeling of single-cell motility
    Mitterwallner, Bernhard G.
    Schreiber, Christoph
    Daldrop, Jan O.
    Raedler, Joachim O.
    Netz, Roland R.
    [J]. PHYSICAL REVIEW E, 2020, 101 (03)
  • [13] Drug targets: single-cell transcriptomics hastens unbiased discovery
    Bartfai, Tamas
    Buckley, Peter T.
    Eberwine, James
    [J]. TRENDS IN PHARMACOLOGICAL SCIENCES, 2012, 33 (01) : 9 - 16
  • [14] A Data-Driven Clustering Recommendation Method for Single-Cell RNA-Sequencing Data
    Tian, Yu
    Zheng, Ruiqing
    Liang, Zhenlan
    Li, Suning
    Wu, Fang-Xiang
    Li, Min
    [J]. TSINGHUA SCIENCE AND TECHNOLOGY, 2021, 26 (05) : 772 - 789
  • [15] Single-cell genomics and spatial transcriptomics: Discovery of novel cell states and cellular interactions in liver physiology and disease biology
    Saviano, Antonio
    Henderson, Neil C.
    Baumert, Thomas F.
    [J]. JOURNAL OF HEPATOLOGY, 2020, 73 (05) : 1219 - 1230
  • [16] Data-driven discovery of Koopman eigenfunctions for control
    Kaiser, Eurika
    Kutz, J. Nathan
    Brunton, Steven L.
    [J]. MACHINE LEARNING-SCIENCE AND TECHNOLOGY, 2021, 2 (03):
  • [17] A Data-Driven Clustering Recommendation Method for Single-Cell RNA-Sequencing Data
    Yu Tian
    Ruiqing Zheng
    Zhenlan Liang
    Suning Li
    Fang-Xiang Wu
    Min Li
    [J]. Tsinghua Science and Technology, 2021, 26 (05) : 772 - 789
  • [18] Data denoising with transfer learning in single-cell transcriptomics
    Wang, Jingshu
    Agarwal, Divyansh
    Huang, Mo
    Hu, Gang
    Zhou, Zilu
    Ye, Chengzhong
    Zhang, Nancy R.
    [J]. NATURE METHODS, 2019, 16 (09) : 875 - +
  • [19] Data denoising with transfer learning in single-cell transcriptomics
    Jingshu Wang
    Divyansh Agarwal
    Mo Huang
    Gang Hu
    Zilu Zhou
    Chengzhong Ye
    Nancy R. Zhang
    [J]. Nature Methods, 2019, 16 : 875 - 878
  • [20] A data-driven single-cell and spatial transcriptomic map of the human prefrontal cortex
    Huuki-Myers, Louise A.
    Spangler, Abby
    Eagles, Nicholas J.
    Montgomery, Kelsey D.
    Kwon, Sang Ho
    Guo, Boyi
    Grant-Peters, Melissa
    Divecha, Heena R.
    Tippani, Madhavi
    Sriworarat, Chaichontat
    Nguyen, Annie B.
    Ravichandran, Prashanthi
    Tran, Matthew N.
    Seyedian, Arta
    Hyde, Thomas M.
    Kleinman, Joel E.
    Battle, Alexis
    Page, Stephanie C.
    Ryten, Mina
    Hicks, Stephanie C.
    Martinowich, Keri
    Collado-Torres, Leonardo
    Maynard, Kristen R.
    [J]. SCIENCE, 2024, 384 (6698)
12345