DeepICSH: a complex deep learning framework for identifying cell-specific silencers and their strength from the human genome

Abstract Silencers are noncoding DNA sequence fragments located on the genome that suppress gene expression. The variation of silencers in specific cells is closely related to gene expression and cancer development. Computational approaches that exclusively rely on DNA sequence information for silen...

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Veröffentlicht in:	Briefings in bioinformatics 2023-09, Vol.24 (5)
Hauptverfasser:	Zhang, Tianjiao, Li, Liangyu, Sun, Hailong, Xu, Dali, Wang, Guohua
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial neural networks Deep learning Deoxyribonucleic acid DNA Epigenetics Gene expression Gene sequencing Genomes Machine learning Neural networks Nucleotide sequence Regulatory sequences Silencers Source code Transcription factors
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