AutoCoV: tracking the early spread of COVID-19 in terms of the spatial and temporal patterns from embedding space by K-mer based deep learning

BACKGROUND: The widely spreading coronavirus disease (COVID-19) has three major spreading properties: pathogenic mutations, spatial, and temporal propagation patterns. We know the spread of the virus geographically and temporally in terms of statistics, i.e., the number of patients. However, we are...

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Bibliographic Details
Main Authors: Sung, Inyoung, Lee, Sangseon, Pak, Minwoo, Shin, Yunyol, Kim, Sun
Format: Online Article Text
Language:English
Published: BioMed Central 2022
Subjects:
Research
Online Access:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9036508/
https://www.ncbi.nlm.nih.gov/pubmed/35468739
http://dx.doi.org/10.1186/s12859-022-04679-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9036508/
https://www.ncbi.nlm.nih.gov/pubmed/35468739
http://dx.doi.org/10.1186/s12859-022-04679-x

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