CellBench: R/Bioconductor software for comparing single-cell RNA-seq analysis methods
Motivation Bioinformatic analysis of single-cell gene expression data is a rapidly evolving
field. Hundreds of bespoke methods have been developed in the past few years to deal with …
field. Hundreds of bespoke methods have been developed in the past few years to deal with …
CellBench: R/Bioconductor software for comparing single-cell RNA-seq analysis methods
S Su, L Tian, X Dong, PF Hickey… - …, 2020 - research-repository.uwa.edu.au
Motivation: Bioinformatic analysis of single-cell gene expression data is a rapidly evolving
field. Hundreds of bespoke methods have been developed in the past few years to deal with …
field. Hundreds of bespoke methods have been developed in the past few years to deal with …
CellBench: R/Bioconductor software for comparing single-cell RNA-seq analysis methods
S Su, L Tian, X Dong, PF Hickey… - Bioinformatics …, 2020 - pubmed.ncbi.nlm.nih.gov
Motivation Bioinformatic analysis of single-cell gene expression data is a rapidly evolving
field. Hundreds of bespoke methods have been developed in the past few years to deal with …
field. Hundreds of bespoke methods have been developed in the past few years to deal with …
CellBench: R/Bioconductor software for comparing single-cell RNA-seq analysis methods.
S Su, L Tian, X Dong, PF Hickey, S Freytag… - Bioinformatics (Oxford …, 2020 - europepmc.org
Results The CellBench R software facilitates method comparisons in either a task-centric or
combinatorial way to allow pipelines of methods to be evaluated in an effective manner …
combinatorial way to allow pipelines of methods to be evaluated in an effective manner …
[HTML][HTML] CellBench: R/Bioconductor software for comparing single-cell RNA-seq analysis methods
S Su, L Tian, X Dong, PF Hickey, S Freytag… - …, 2020 - ncbi.nlm.nih.gov
Results The CellBench R software facilitates method comparisons in either a task-centric or
combinatorial way to allow pipelines of methods to be evaluated in an effective manner …
combinatorial way to allow pipelines of methods to be evaluated in an effective manner …
[PDF][PDF] CellBench: R/Bioconductor software for comparing single-cell RNA-seq analysis methods
S Su, L Tian, X Dong, PF Hickey, S Freytag… - …, 2020 - pdfs.semanticscholar.org
Motivation: Bioinformatic analysis of single-cell gene expression data is a rapidly evolving
field. Hundreds of bespoke methods have been developed in the past few years to deal with …
field. Hundreds of bespoke methods have been developed in the past few years to deal with …
[PDF][PDF] CellBench: R/Bioconductor software for comparing single-cell RNA-seq analysis methods
S Su, L Tian, X Dong, PF Hickey, S Freytag… - …, 2020 - scienceopen.com
Motivation: Bioinformatic analysis of single-cell gene expression data is a rapidly evolving
field. Hundreds of bespoke methods have been developed in the past few years to deal with …
field. Hundreds of bespoke methods have been developed in the past few years to deal with …
CellBench: R/Bioconductor software for comparing single-cell RNA-seq analysis methods.
S Su, L Tian, X Dong, PF Hickey, S Freytag… - …, 2020 - search.ebscohost.com
Motivation Bioinformatic analysis of single-cell gene expression data is a rapidly evolving
field. Hundreds of bespoke methods have been developed in the past few years to deal with …
field. Hundreds of bespoke methods have been developed in the past few years to deal with …
[PDF][PDF] CellBench: R/Bioconductor software for comparing single-cell RNA-seq analysis methods
S Su, L Tian, X Dong, PF Hickey, S Freytag… - …, 2020 - academic.oup.com
Motivation Bioinformatic analysis of single-cell gene expression data is a rapidly evolving
field. Hundreds of bespoke methods have been developed in the past few years to deal with …
field. Hundreds of bespoke methods have been developed in the past few years to deal with …
[PDF][PDF] CellBench: R/Bioconductor software for comparing single-cell RNA-seq analysis methods
S Su, L Tian, X Dong, PF Hickey… - …, 2020 - minerva-access.unimelb.edu.au
Motivation: Bioinformatic analysis of single-cell gene expression data is a rapidly evolving
field. Hundreds of bespoke methods have been developed in the past few years to deal with …
field. Hundreds of bespoke methods have been developed in the past few years to deal with …