Author

S. Balekuttira

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Plant Biology· 1

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Organism:Arabidopsis· 1 Assay:bulk RNA-seq· 1 Research Focus:gene regulatory network inference· 1 Approach:machine learning (classical)· 1

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K. Hudson· 1 shared K. Varala· 1 shared M. Dobbins· 1 shared R. Ranjan· 1 shared S. Srijan· 1 shared T. Agarwal· 1 shared X. Wang· 1 shared Y. Li· 1 shared

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2023-2023 · peak 1/yr

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1 shared paperPlant Biology

K. Hudson

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1 paper

Recent·Most cited

Plant BiologybioRxivJun 17, 2023

Genome-wide, Organ-delimited gene regulatory networks (OD-GRNs) provide high accuracy in candidate TF selection across diverse processes.

R. Ranjan, S. Srijan, S. Balekuttira…·K. Varala

The paper develops a machine learning framework to create organ-specific gene expression datasets and infer gene regulatory networks, achieving high accuracy in predicting transcription factors regulating organ-specific processes.

DOI 10.1073/pnas.2322751121

Arabidopsisbulk RNA-seq

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