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Fig. 8 | BMC Bioinformatics

Fig. 8

From: abc4pwm: affinity based clustering for position weight matrices in applications of DNA sequence analysis

Fig. 8

Applying an ensemble learning approach to predict TF binding motifs from ESR1 ChIP-seq data. First, input data is randomly selected multiple times from all called peaks from ESR1 ChIP-seq experiment in MCF7 cell line for predicting enriched motif, by using bayesPI2. Then, all predicted PWMs from multiple selections are clustered and quality evaluated by abc4pwm (e.g., three clusters indicated by brown color). Representative motifs or PWMs of good quality clusters are generated, and are used to search against known PWMs of human TFs (~ 1770 PWMs) by using searching module of abc4pwm (gray colored box). The top two matched search results (ESR1_M00959 and ESR1_M00191) are displayed along with their similarity scores, where the motif images are cropped to highlight matched areas

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