Dynamic model updating (DMU) approach for statistical learning model building with missing data

BACKGROUND: Developing statistical and machine learning methods on studies with missing information is a ubiquitous challenge in real-world biological research. The strategy in literature relies on either removing the samples with missing values like complete case analysis (CCA) or imputing the info...

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Detalles Bibliográficos
Autores principales: Jain, Rahi, Xu, Wei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Methodology Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8086098/
https://www.ncbi.nlm.nih.gov/pubmed/33926384
http://dx.doi.org/10.1186/s12859-021-04138-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8086098/
https://www.ncbi.nlm.nih.gov/pubmed/33926384
http://dx.doi.org/10.1186/s12859-021-04138-z

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