Article

CovidOutcome2: a tool for SARS-CoV2 mutation identification and for disease severity prediction

2022-07-01

Abstract excerpt

Our goal was to develop a platform, CovidOutcome2, capable of predicting disease severity from viral mutation profiles using automated machine learning (autoML) and deep neural networks applied to the available large corpus of sequenced SARS-CoV2 genomes. CovidOutcome2 accepts either user-submitted genomes or user defined mutation combinations as the input. The output is a predicted severity score plus a list of i...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 3c588d15-d1af-51e6-96f9-b3425141c4ac
DOI: 10.1101/2022.07.01.496571

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

CovidOutcome2: a tool for SARS-CoV2 mutation identification and for disease severity predictionDOI 10.1101/2022.07.01.496571Read

COVIDOUTCOME-estimating COVID severity based on mutation signatures in the SARS-CoV-2 genome.Semantic proximity Read

COVIDOUTCOME – Estimating COVID Severity Based on Mutation Signatures in the SARS-CoV-2 GenomeSemantic proximity Read

Genome-wide identification and prediction of SARS-CoV-2 mutations show an abundance of variants: Integrated study of bioinformatics and deep neural learningSemantic proximity Read

Genome-wide identification and prediction of SARS-CoV-2 mutations show an abundance of variants: Integrated study of bioinformatics and deep neural learningSemantic proximity Read

A deep mutational scanning-informed protein language model predicts SARS-CoV-2 evolution dynamics with spatiotemporal resolution.Semantic proximity Read

(Machine) Learning the mutation signatures of SARS-CoV-2: a primer for predictive prognosisSemantic proximity Read

An integrated approach to determine the abundance, mutation rate and phylogeny of the SARS-CoV-2 genomeSemantic proximity Read

SARS-CoV-2: lessons in virus mutation prediction and pandemic preparednessSemantic proximity Read

Deepvirusclassifier: a deep learning tool for classifying SARS-CoV-2 based on viral subtypes within the coronaviridae familySemantic proximity Read

CoVEffect: interactive system for mining the effects of SARS-CoV-2 mutations and variants based on deep learning.Semantic proximity Read

Can machines learn the mutation signatures of SARS-CoV-2 and enable viral-genotype guided predictive prognosis?Semantic proximity Read

Predicting Future SARS-CoV-2 Mutations using Deep LearningSemantic proximity Read