Information-theory-based benchmarking and feature selection algorithm improve cell type annotation and reproducibility of single cell RNA-seq data analysis …
Single cell RNA sequencing (scRNA-seq), which promises to enable the quantitative study
of biological processes at the single cell level, are now a routine part of experimental …
of biological processes at the single cell level, are now a routine part of experimental …
Information-theory-based benchmarking and feature selection algorithm improve cell type annotation and reproducibility of single cell RNA-seq data analysis …
Z Ren, M Gerlach, H Shi, GS Budinger, NA LA - 2020 - europepmc.org
Single cell RNA sequencing (scRNA-seq) data are now routinely generated in experimental
practice because of their promise to enable the quantitative study of biological processes at …
practice because of their promise to enable the quantitative study of biological processes at …
[PDF][PDF] Information-theory-based benchmarking and feature selection algorithm improve cell type 1 annotation and reproducibility of single cell RNA-seq data analysis …
Z Ren, M Gerlach, H Shi, GRS Budinger, LAN Amaral - scholar.archive.org
1 Single cell RNA sequencing (scRNA-seq) data are now routinely generated in
experimental 2 practice because of their promise to enable the quantitative study of …
experimental 2 practice because of their promise to enable the quantitative study of …