Article

An Improved Dataset for Predicting Mammal Infecting Viruses from Genetic Sequence Information

2025-09-20

Abstract excerpt

There have been several attempts to develop machine learning (ML) models to identify human infecting viruses from their genomic sequences, with varying degrees of success. Direct comparison between models is problematic, because these models are typically trained and evaluated on different datasets with alter-native data splitting schemes, features, and model performance metrics. In this paper we present a standar...

Topics

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

Identifiers and source

Literature Corpus work: 7b412a91-dae2-5f23-95bc-87f410597aab
DOI: 10.1101/2025.09.17.676952

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

An Improved Dataset for Predicting Mammal Infecting Viruses from Genetic Sequence InformationDOI 10.1101/2025.09.17.676952Read

Identifying and prioritizing potential human-infecting viruses from their genome sequencesSemantic proximity Read

Identifying and prioritizing potential human-infecting viruses from their genome sequencesSemantic proximity Read

Divide-and-conquer: machine-learning integrates mammalian and viral traits with network features to predict virus-mammal associationsSemantic proximity Read

Data Proliferation, Reconciliation, and Synthesis in Viral EcologySemantic proximity Read

Developing Foundation Models for Predicting Viral Animal Host Range in Intelligent SurveillanceSemantic proximity Read

Characterizing and Evaluating the Zoonotic Potential of Novel Viruses Discovered in Vampire BatsSemantic proximity Read

A Genotype-to-Phenotype Modeling Framework to Predict Human Pathogenicity of Novel CoronavirusesSemantic proximity Read

Predicting reservoir hosts and arthropod vectors from evolutionary signatures in RNA virus genomesSemantic proximity Read

Predicting the potential for zoonotic transmission and host associations for novel virusesSemantic proximity Read

Identification of viruses with the potential to infect humanSemantic proximity Read

Taxonomic patterns in the zoonotic potential of mammalian virusesSemantic proximity Read

Hidden Challenges in Evaluating Spillover Risk of Zoonotic Viruses using Machine Learning ModelsSemantic proximity Read