Eigen-R2 for dissecting variation in high-dimensional studies

被引:14
|
作者
Chen, Lin S. [1 ]
Storey, John D. [1 ,2 ]
机构
[1] Princeton Univ, Lewis Sigler Inst, Princeton, NJ 08544 USA
[2] Princeton Univ, Dept Mol Biol, Princeton, NJ 08544 USA
关键词
D O I
10.1093/bioinformatics/btn411
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
We provide a new statistical algorithm and software package called 'eigen-R(2)' for dissecting the variation of a high-dimensional biological dataset with respect to other measured variables of interest. We apply eigen-R(2) to two real-life examples and compare it with simply averaging R(2) over many features.
引用
收藏
页码:2260 / 2262
页数:3
相关论文
共 50 条
  • [21] High-Dimensional Graphical Model Search with the gRapHD R Package
    Abreu, Gabriel C. G.
    Edwards, David
    Labouriau, Rodrigo
    JOURNAL OF STATISTICAL SOFTWARE, 2010, 37 (01): : 1 - 18
  • [22] The huge Package for High-dimensional Undirected Graph Estimation in R
    Zhao, Tuo
    Liu, Han
    Roeder, Kathryn
    Lafferty, John
    Wasserman, Larry
    JOURNAL OF MACHINE LEARNING RESEARCH, 2012, 13 : 1059 - 1062
  • [23] A High-Dimensional Cramér-von Mises Test
    Zhang, Danna
    Xu, Mengyu
    MATHEMATICS, 2024, 12 (22)
  • [24] The huge package for high-dimensional undirected graph estimation in R
    Zhao, Tuo
    Liu, Han
    Roeder, Kathryn
    Lafferty, John
    Wasserman, Larry
    Journal of Machine Learning Research, 2012, 13 : 1059 - 1062
  • [25] Dissecting Brazilian agriculture business cycles in high-dimensional and time-irregular span contexts
    André Nunes Maranhão
    Nicole Rennó Castro
    Empirical Economics, 2023, 65 : 1543 - 1578
  • [26] Dissecting Brazilian agriculture business cycles in high-dimensional and time-irregular span contexts
    Maranhao, Andre Nunes
    Castro, Nicole Renno
    EMPIRICAL ECONOMICS, 2023, 65 (04) : 1543 - 1578
  • [27] A HIGH-DIMENSIONAL APPROACH TO DISSECTING THE ROLE OF THE TISSUE MICROENVIRONMENT IN SHAPING THE IMMUNE RESPONSE IN PSORIATIC ARTHRITIS
    Chan, J. H. S.
    Leung, Y. Y.
    Fong, W.
    Yeo, Y. W. K.
    Paleja, B.
    Lai, L.
    Saidin, S.
    Chua, C.
    Hazirah, S. Nur
    Poh, S. L.
    Low, H. L. A.
    Albani, S.
    ANNALS OF THE RHEUMATIC DISEASES, 2018, 77 : 1031 - 1031
  • [28] High-dimensional estimation of quadratic variation based on penalized realized variance
    Kim Christensen
    Mikkel Slot Nielsen
    Mark Podolskij
    Statistical Inference for Stochastic Processes, 2023, 26 : 331 - 359
  • [29] High-dimensional estimation of quadratic variation based on penalized realized variance
    Christensen, Kim
    Nielsen, Mikkel Slot
    Podolskij, Mark
    STATISTICAL INFERENCE FOR STOCHASTIC PROCESSES, 2023, 26 (02) : 331 - 359
  • [30] Statistical significance of variables driving systematic variation in high-dimensional data
    Chung, Neo Christopher
    Storey, John D.
    BIOINFORMATICS, 2015, 31 (04) : 545 - 554