Unknown

Dataset Information

0

INFINITy: A fast machine learning-based application for human influenza A and B virus subtyping.

ABSTRACT:

SUBMITTER: Cacciabue M 

PROVIDER: S-EPMC9874948 | biostudies-literature | 2023 Jan

REPOSITORIES: biostudies-literature

Json Xml
altmetric image

Publications

INFINITy: A fast machine learning-based application for human influenza A and B virus subtyping.

Cacciabue Marco M   Marcone Débora N DN  

Influenza and other respiratory viruses 20230101 1

Similar Datasets

Unknown Machine learning methods for predicting human-adaptive influenza A virus reassortment based on intersegment constraint.
| S-EPMC11970406 | biostudies-literature
Unknown An open-source k-mer based machine learning tool for fast and accurate subtyping of HIV-1 genomes.
| S-EPMC6235296 | biostudies-literature
Unknown Predicting the short-term success of human influenza virus variants with machine learning.
| S-EPMC7209065 | biostudies-literature
Unknown Machine learning for RNA sequencing-based intrinsic subtyping of breast cancer.
| S-EPMC7442834 | biostudies-literature
Unknown Metabolomic Subtyping and Machine Learning-Based Diagnosis Reveal Clinical Heterogeneity in Silicosis.
| S-EPMC12843767 | biostudies-literature
Unknown A sequence-based machine learning model for predicting antigenic distance for H3N2 influenza virus.
| S-EPMC10834737 | biostudies-literature
Unknown Molecular Subtyping of Cancer Based on Distinguishing Co-Expression Modules and Machine Learning.
| S-EPMC9108363 | biostudies-literature
Unknown Oligonucleotide microchip for subtyping of influenza A virus.
| S-EPMC4941880 | biostudies-literature
Unknown Craft: A Machine Learning Approach to Dengue Subtyping.
| S-EPMC11844389 | biostudies-literature
Unknown Craft: a machine learning approach to dengue subtyping.
| S-EPMC12527244 | biostudies-literature