Benchmarking Machine Learning Robustness in Covid-19 Genome Sequence Classification

1 code implementation • 18 Jul 2022 • Sarwan Ali, Bikram Sahoo, Alexander Zelikovskiy, Pin-Yu Chen, Murray Patterson

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.

Benchmarking BIG-bench Machine Learning +1

A k-mer Based Approach for SARS-CoV-2 Variant Identification

no code implementations • 7 Aug 2021 • Sarwan Ali, Bikram Sahoo, Naimat Ullah, Alexander Zelikovskiy, Murray Patterson, Imdadullah Khan

With the rapid spread of the novel coronavirus (COVID-19) across the globe and its continuous mutation, it is of pivotal importance to design a system to identify different known (and unknown) variants of SARS-CoV-2.