SARS-CoV-2 Diagnosis Using Transcriptome Data: A Machine Learning Approach.

ABSTRACT: SARS-CoV-2 pandemic is the big issue of the whole world right now. The health community is struggling to rescue the public and countries from this spread, which revives time to time with different waves. Even the vaccination seems to be not prevents this spread. Accurate identification of infected people on time is essential these days to control the spread. So far, Polymerase chain reaction (PCR) and rapid antigen tests are widely used in this identification, accepting their own drawbacks. False negative cases are the menaces in this scenario. To avoid these problems, this study uses machine learning techniques to build a classification model with higher accuracy to filter the COVID-19 cases from the non-COVID individuals. Transcriptome data of the SARS-CoV-2 patients along with the contr

SUBMITTER: Jeyananthan P 

PROVIDER: S-EPMC9936926 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature