GSE158683
DeepTFactor, a deep learning-based tool for the identification of transcription factors
We report the development of a deep learning-based tool, DeepTFactor, that predicts whether a protein of question is a transcription factor. DeepTFactor uses a convolutional neural network to extract features of protein sequences. We characterized the genome-wide binding sites of three TFs (i.e., YqhC, YiaU, and YahB), which are predicted by DeepTFactor Overall design: Identification of genome-wide bindings for uncharacterized transcription factors in E. coli K-12 MG1655, using ChIP-exo technology