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Benchmarking Machine Learning Robustness in Covid-19 Genome Sequence Classification. (arXiv:2207.08898v1 [q-bio.GN])
cs.LG updates on arXiv.org arxiv.org
The rapid spread of the COVID-19 pandemic has resulted in an unprecedented
amount of sequence data of the SARS-CoV-2 genome -- millions of sequences and
counting. This amount of data, while being orders of magnitude beyond the
capacity of traditional approaches to understanding the diversity, dynamics,
and evolution of viruses is nonetheless a rich resource for machine learning
(ML) approaches as alternatives for extracting such important information from
these data. It is of hence utmost importance to design a framework …
arxiv benchmarking bio classification covid covid-19 genome learning machine machine learning robustness