DeepSATA: A Deep Learning-Based Sequence Analyzer Incorporating the Transcription Factor Binding Affinity to Dissect the Effects of Non-Coding Genetic Variants

Utilizing large-scale epigenomics data, deep learning tools can predict the regulatory activity of genomic sequences, annotate non-coding genetic variants, and uncover mechanisms behind complex traits. However, these tools primarily rely on human or mouse data for training, limiting their performanc...

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Detalles Bibliográficos
Autores principales: Ma, Wenlong, Fu, Yang, Bao, Yongzhou, Wang, Zhen, Lei, Bowen, Zheng, Weigang, Wang, Chao, Liu, Yuwen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10418434/
https://www.ncbi.nlm.nih.gov/pubmed/37569400
http://dx.doi.org/10.3390/ijms241512023

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10418434/
https://www.ncbi.nlm.nih.gov/pubmed/37569400
http://dx.doi.org/10.3390/ijms241512023

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