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Article

Deep learning based on biologically interpretable genome representation predicts two types of human adaptation of SARS-CoV-2 variants.

Briefings in bioinformatics - 13 May 2022

Li Jing, Wu Ya-Nan, Zhang Sen, Kang Xiao-Ping, Jiang Tao

Abstract excerpt

Explosively emerging SARS-CoV-2 variants challenge current nomenclature schemes based on genetic diversity and biological significance. Genomic composition-based machine learning methods have recently performed well in identifying phenotype-genotype relationships. We introduced a framework involving dinucleotide (DNT) composition representation (DCR) to parse the general human adaptation of RNA viruses and...

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Identifiers

PMID: 35233612
DOI: 10.1093/bib/bbac036
PMCID: PMC9116219

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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