Fast and robust imputation for miRNA expression data using constrained least squares

Abstract Background High dimensional transcriptome profiling, whether through next generation sequencing techniques or high-throughput arrays, may result in scattered variables with missing data. Data imputation is a common strategy to maximize the inclusion of samples by using statistical technique...

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Autors principals:	James W. Webber, Kevin M. Elias
Format:	Artigo
Idioma:	Inglês
Publicat:	BMC 2022-04-01
Col·lecció:	BMC Bioinformatics
Matèries:	Data imputation Constrained least squares MiRNA expression analysis Cancer prediction
Accés en línia:	https://doi.org/10.1186/s12859-022-04656-4
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