Inference of Gene Regulatory Network from Time Series Expression Data ...
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Aug 9, 2021 · In this paper, we introduce local geometric similarity and multivariate regression (LESME) to infer gene regulatory networks from time-course gene expression ...
In this paper, we introduce local geometric similarity and multivariate regression (LESME) to infer gene regulatory networks from time-course gene expression ...
Inference of Gene Regulatory Network from Time Series Expression Data by Combining Local Geometric Similarity and Multivariate Regression.
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Inference of Gene Regulatory Network from Time Series Expression Data by Combining Local Geometric Similarity and Multivariate Regression. Guangyi Chen ...
Feb 12, 2021 · ... time series data and combining the lagged regression ... S. et al. (. 2018. ) A geometric approach to characterize the functional identity of ...
Inference of Gene Regulatory Network from Time Series Expression Data by Combining Local Geometric Similarity and Multivariate Regression · Export Citations
Oct 18, 2023 · ... gene j is calculated based on geometric mean method as follows: Scor ... MICRAT: a novel algorithm for inferring gene regulatory networks using ...
Missing: Similarity Multivariate
In this paper, we introduce local geometric similarity and multivariate regression (LESME) to infer gene regulatory networks from time-course gene expression ...
The proposed method, called Kernel Embedding of Regulatory Networks (KEREN), is based on the concept of gene-regulon association, and captures hidden geometric ...
Missing: Multivariate | Show results with:Multivariate
DGA determines the dominant factors between the multivariable and target gene based on the geometric curve. The higher the value of DGA, the higher the ...