Beyond benchmarking and towards predictive models of dataset-specific single-cell RNA-seq pipeline performance

Abstract Background The advent of single-cell RNA-sequencing (scRNA-seq) has driven significant computational methods development for all steps in the scRNA-seq data analysis pipeline, including filtering, normalization, and clustering. The large number of methods and their resulting parameter combi...

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Autors principals:	Cindy Fang, Alina Selega, Kieran R. Campbell
Format:	Artigo
Idioma:	Inglês
Publicat:	BMC 2024-06-01
Col·lecció:	Genome Biology
Matèries:	Single-cell RNA sequencing (scRNA-seq) Clustering Benchmarking Automated machine learning
Accés en línia:	https://doi.org/10.1186/s13059-024-03304-9
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