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Fig. 1 | BMC Bioinformatics

Fig. 1

From: HTRgene: a computational method to perform the integrated analysis of multiple heterogeneous time-series data: case analysis of cold and heat stress response signaling genes in Arabidopsis

Fig. 1

Overview of the HTRgene algorithm. The input of HTRgene is a set of multiple time-series gene expression data of the same stress (e.g cold stress) that is collected from databases. Step 1 normalizes the data and detects consensus DEGs. Step 2 partitions the consensus DEGs into gene clusters with high co-expression patterns. Step 3 determines a response time vector \(\vec {R_{C_{i}}}\) for each gene cluster. Step 4 orders gene clusters based on their response time. The final output of HTRgene, response order preserving DEGs and their response phases, are produced

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BMC Bioinformatics

ISSN: 1471-2105

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