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Inference of Gene Regulatory Networks from Time Series ...
IEEE Xplore
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由 PCH Ma 著作2006被引用 1 次 — Abstract: The developments in large-scale monitoring of gene expression have made the reconstruction of gene regulatory networks (GRNs) feasible.
Inference of Gene Regulatory Networks from Time Series ...
IEEE Computer Society
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由 PCH Ma 著作2006被引用 1 次 — For these reasons, we propose an effective data mining approach in this paper. For performance evaluation, it has been tested using real expression data.
Inference of Gene Regulatory Networks from Time Series ...
ResearchGate
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ResearchGate
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The developments in large-scale monitoring of gene expression have made the reconstruction of gene regulatory networks (GRNs) feasible.
Inference of Gene Regulatory Networks from Time Series ...
Semantic Scholar
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Semantic Scholar
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An effective data mining approach that can reveal known gene regulatory relationships that could be used to infer the structures of GRNs is proposed and has ...
Inference of Gene Regulatory Networks Using Time-Series ...
National Institutes of Health (NIH) (.gov)
https://pmc.ncbi.nlm.nih.gov › articles
National Institutes of Health (NIH) (.gov)
https://pmc.ncbi.nlm.nih.gov › articles
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由 C Sima 著作2009被引用 149 次 — We have reviewed the modeling and inference of Gene Regulatory Network (GRN) from time-series data, categorized into those focused on structure, or those on ...
Inference of Gene Regulatory Network from Time Series ...
ACM Digital Library
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由 G Chen 著作2021被引用 1 次 — 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 Networks from Time Series ...
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Bibliographic details on Inference of Gene Regulatory Networks from Time Series Expression Data: A Data Mining Approach.
Inference of Gene Regulatory Networks from Time Series ...
ACM Digital Library
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ACM Digital Library
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For these reasons, we propose an effective data mining approach in this paper. For performance evaluation, it has been tested using real expression data.
RENGE infers gene regulatory networks using time-series ...
Nature
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由 M Ishikawa 著作2023被引用 5 次 — Here, we developed RENGE, a computational method that infers gene regulatory networks using a time-series single-cell CRISPR dataset.
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Inference of Gene Regulatory Network from Time Series ...
ResearchGate
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ResearchGate
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2024年11月21日 — In this paper, we introduce local geometric similarity and multivariate regression (LESME) to infer gene regulatory networks from time-course ...
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