Pattern recognition of topologically associating domains using deep learning

Background Recent increasing evidence indicates that three-dimensional chromosome structure plays an important role in genomic function. Topologically associating domains (TADs) are self-interacting regions that have been shown to be a chromosomal structural unit. During evolution, these are conserv...

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Vydané v:	BMC bioinformatics Ročník 22; číslo Suppl 10; s. 634 - 15
Hlavní autori:	Yang, Jhen Yuan, Chang, Jia-Ming
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	London BioMed Central 08.12.2022 BioMed Central Ltd Springer Nature B.V BMC
Predmet:	Accuracy Algorithms Animals Artificial neural networks Bioinformatics Biomedical and Life Sciences Cell lines Chromosome organization Chromosomes Classification Computational Biology/Bioinformatics Computer Appl. in Life Sciences Deep Learning Domains Evolution Gene mapping Genetic research Genomes Genomics Hi-C Humans Image classification Interactomes Life Sciences Machine learning Methods Mice Microarrays Neural networks Nucleotide sequence Object recognition Object recognition (Computers) Pattern recognition Performance evaluation Structure Synteny TAD Topologically associating domain Taiwan Deep learning Topologically associating domain Hi-C TAD Chromosome organization
ISSN:	1471-2105, 1471-2105
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