How to balance the bioinformatics data: pseudo-negative sampling

BACKGROUND: Imbalanced datasets are commonly encountered in bioinformatics classification problems, that is, the number of negative samples is much larger than that of positive samples. Particularly, the data imbalance phenomena will make us underestimate the performance of the minority class of pos...

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Detalles Bibliográficos
Autores principales: Zhang, Yongqing, Qiao, Shaojie, Lu, Rongzhao, Han, Nan, Liu, Dingxiang, Zhou, Jiliu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Methodology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6929457/
https://www.ncbi.nlm.nih.gov/pubmed/31874622
http://dx.doi.org/10.1186/s12859-019-3269-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6929457/
https://www.ncbi.nlm.nih.gov/pubmed/31874622
http://dx.doi.org/10.1186/s12859-019-3269-4

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