Evaluation of different approaches for missing data imputation on features associated to genomic data

Evaluation of different approaches for missing data imputation on features associated to genomic data

Abstract Background Missing data is a common issue in different fields, such as electronics, image processing, medical records and genomics. They can limit or even bias the posterior analysis. The data collection process can lead to different distribution, frequency, and structure of missing data po...

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Sonraí bibleagrafaíochta
Príomhchruthaitheoirí: Ben Omega Petrazzini, Hugo Naya, Fernando Lopez-Bello, Gustavo Vazquez, Lucía Spangenberg
Formáid: Alt
Teanga:English
Foilsithe / Cruthaithe: BMC 2021-09-01
Sraith:BioData Mining
Ábhair:
Machine learning
imputation
missing data
genomics
pathogenic variants
Rochtain ar líne:https://doi.org/10.1186/s13040-021-00274-7

Ar líne

https://doi.org/10.1186/s13040-021-00274-7

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