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Figure 1 | BMC Bioinformatics

Figure 1

From: Principal component analysis for predicting transcription-factor binding motifs from array-derived data

Figure 1

Flowchart of the model-based analysis of transcription factor binding motifs (TFBMs). The mRNA expression data and the human genome sequence information were used to formulate the mathematical model. The putative TFBMs were selected through the Akaike Information Criterion (AIC) analysis and the Singular Value Decomposition (SVD) eigen value analysis. The predicted TFBMs were evaluated with the genetic algorithm (GA) numerical analysis and the Monte-Carlo simulation, and the model-based TFBM network was linked to the known transcription factors and their binding motifs.

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