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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 917.5 kB | linux-64/bioconductor-sepa-1.10.0-r351_0.tar.bz2  6 years and 11 months ago 4454 main cf201901
conda 895.0 kB | linux-64/bioconductor-sepa-1.10.0-r341_0.tar.bz2  6 years and 11 months ago 731 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 810 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 4369 main cf201901
conda 892.6 kB | osx-64/bioconductor-sepa-1.6.0-r3.4.1_0.tar.bz2  8 years and 15 days ago 4283 main cf201901
conda 892.9 kB | linux-64/bioconductor-sepa-1.6.0-r3.4.1_0.tar.bz2  8 years and 15 days ago 711 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 735 main cf201901

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