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Found 4 papers, 2 papers with code
Virus2Vec: Viral Sequence Classification Using Machine Learning
Understanding the host-specificity of different families of viruses sheds light on the origin of, e. g., SARS-CoV-2, rabies, and other such zoonotic pathogens in humans.
ViralVectors: Compact and Scalable Alignment-free Virome Feature Generation
In this work, we propose \emph{ViralVectors}, a compact feature vector generation from virome sequencing data that allows effective downstream analysis.
PWM2Vec: An Efficient Embedding Approach for Viral Host Specification from Coronavirus Spike Sequences
In coronaviruses, the surface (S) protein, or spike protein, is an important part of determining host specificity since it is the point of contact between the virus and the host cell membrane.
Characterizing SARS-CoV-2 Spike Sequences Based on Geographical Location
With the rapid spread of COVID-19 worldwide, viral genomic data is available in the order of millions of sequences on public databases such as GISAID.
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