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bioconda / packages / bioconductor-sepa

Given single-cell RNA-seq data and true experiment time of cells or pseudo-time cell ordering, SEPA provides convenient functions for users to assign genes into different gene expression patterns such as constant, monotone increasing and increasing then decreasing. SEPA then performs GO enrichment analysis to analysis the functional roles of genes with same or similar patterns.

Type Size Name Uploaded Downloads Labels
conda 922.9 kB | noarch/bioconductor-sepa-1.13.0-r36_1.tar.bz2  6 years and 1 month ago 2704 main
conda 918.8 kB | noarch/bioconductor-sepa-1.12.0-r351_0.tar.bz2  6 years and 8 months ago 2734 main gcc7
conda 917.5 kB | linux-64/bioconductor-sepa-1.10.0-r351_0.tar.bz2  6 years and 11 months ago 4438 main cf201901
conda 895.0 kB | linux-64/bioconductor-sepa-1.10.0-r341_0.tar.bz2  6 years and 11 months ago 728 main cf201901
conda 893.6 kB | linux-64/bioconductor-sepa-1.8.0-r3.4.1_0.tar.bz2  7 years and 10 months ago 807 main cf201901
conda 893.2 kB | osx-64/bioconductor-sepa-1.8.0-r3.4.1_0.tar.bz2  7 years and 10 months ago 4356 main cf201901
conda 892.6 kB | osx-64/bioconductor-sepa-1.6.0-r3.4.1_0.tar.bz2  8 years and 2 days ago 4270 main cf201901
conda 892.9 kB | linux-64/bioconductor-sepa-1.6.0-r3.4.1_0.tar.bz2  8 years and 2 days ago 708 main cf201901
conda 892.3 kB | osx-64/bioconductor-sepa-1.6.0-r3.3.2_0.tar.bz2  8 years and 1 month ago 156 main cf201901
conda 892.7 kB | linux-64/bioconductor-sepa-1.6.0-r3.3.2_0.tar.bz2  8 years and 1 month ago 732 main cf201901

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