In this paper, the maximal overlap discrete wavelet transform is used for the analysis of gene co-express network. Combined cross-correlation and the ...
In this paper, the maximal overlap discrete wavelet transform is used for the analysis of gene co-express network. Combined cross-correlation and the ...
Abstract—In this paper, the maximal overlap discrete wavelet transform is used for the analysis of gene co-express network. Combined cross-correlation and ...
Ying Li, Na Lei, Jian Ma: Statistical Analysis of Gene Co-Expression Networks by Maximal Overlap Discrete Wavelet Transform. BMEI 2009: 1-5.
Statistical Analysis Of Gene Co-expression Networks By Maximal ...
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In this paper, the maximal overlap discrete wavelet transform is used for the analysis of gene co-express network. Combined cross-correlation and the ...
In this paper we present a statistical analysis of atmospheric boundary layer turbulence using an nonorthogonal variant of the discrete wavelet trans- form. In ...
Missing: Gene Networks
Aug 13, 2021 · Gene co-expression networks (GCNs), constructed from high-throughput gene expression data, can be used to understand evolution and the rise of new phenotypes.
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What is the maximal overlap discrete wavelet transform?
What is gene co-expression network analysis?
To minimize the complexity of the data, maximum overlap discrete wavelet transform (MODWT) is used to extract EEG features. The mean inside each window sample ...
May 31, 2019 · We make use of genome sequence data, variants data across a population as well as methylation data across 10 different tissues, combined with wavelet-based ...
May 25, 2021 · Here we present GWENA, a new R package that integrates gene co-expression network construction and whole characterization of the detected modules.
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