Construction of Condition-Specific Gene Regulatory Network

We present a novel computational method to construct condition-specific transcriptional networks from transcriptome data. Regulatory interaction between transcription factors (TFs) and target genes (TGs) is very complex, specifically multiple-to-multiple relations. We, therefore, employed kernel CCA to embed TFs and TGs into a new space where the correlation of TFs and TGs are reflected thus identifying multiple-to-multiple TF–TG relations in certain biological condition.

D Jeong et al. Construction of Condition-Specific Gene Regulatory Network using Kernel Canonical Correlation Analysis, Frontiers in Genetics, 2021

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