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Cross-Cell-Type Prediction of TF-Binding Site by Integrating Convolutional Neural Network and Adversarial Network

Transcription factor binding sites (TFBSs) play an important role in gene expression regulation. Many computational methods for TFBS prediction need sufficient labeled data. However, many transcription factors (TFs) lack labeled data in cell types. We propose a novel method, referred to as DANN_TF,...

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Detalles Bibliográficos
Autores principales:	Lan, Gongqiang, Zhou, Jiyun, Xu, Ruifeng, Lu, Qin, Wang, Hongpeng
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2019
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6679139/ https://www.ncbi.nlm.nih.gov/pubmed/31336830 http://dx.doi.org/10.3390/ijms20143425

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