PTF-Vāc: An explainable and generative deep co-learning encoder-decoder system for ab initio discovery of plant transcription factor binding sites.

The binding sites and motifs identified by PTF-Vāc demonstrated highly significant matches (TOMTOM p value << 0.01) with the experimentally reported motifs for all TFs, confirming the efficacy of PTF-Vāc in handling cross-species conditions.

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The results indicated a clear trend whereby accuracy increased significantly as more complex representations were introduced: dimeric representation resulted in 32.56% accuracy, trimeric representation in 46.1% accuracy, tetrameric representation in 59.51% accuracy, and pentameric representation in 76.49% accuracy.

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