diff --git a/404.html b/404.html index 005ac30..9934a0e 100644 --- a/404.html +++ b/404.html @@ -32,7 +32,7 @@
diff --git a/CODE_OF_CONDUCT.html b/CODE_OF_CONDUCT.html index 608dc05..830337e 100644 --- a/CODE_OF_CONDUCT.html +++ b/CODE_OF_CONDUCT.html @@ -17,7 +17,7 @@ diff --git a/LICENSE-text.html b/LICENSE-text.html index 481193b..474df69 100644 --- a/LICENSE-text.html +++ b/LICENSE-text.html @@ -17,7 +17,7 @@ diff --git a/LICENSE.html b/LICENSE.html index c20bab6..44f1c17 100644 --- a/LICENSE.html +++ b/LICENSE.html @@ -17,7 +17,7 @@ diff --git a/articles/GeneTonic_manual.html b/articles/GeneTonic_manual.html index 4708c1a..b1df816 100644 --- a/articles/GeneTonic_manual.html +++ b/articles/GeneTonic_manual.html @@ -34,7 +34,7 @@ @@ -112,7 +112,7 @@vignettes/GeneTonic_manual.Rmd
GeneTonic_manual.Rmd
Compiled date: 2024-12-16
+Compiled date: 2025-01-09
Last edited: 2022-04-04
License: MIT + file LICENSE
library("plotly")
ggplotly(p)
-Display the relationship between genesets and genes that belong to +
Display the relationship between genesets and genes that belong to them (useful e.g. to see overlap between terms):
gs_alluvial(res_enrich = res_enrich_macrophage,
@@ -797,7 +797,7 @@ Overview functions: genes and ge
annotation_obj = anno_df,
n_gs = 4)
Display a bipartite graph where genesets and genes are included, and +
Display a bipartite graph where genesets and genes are included, and make it interactive:
ggs <- ggs_graph(res_enrich_macrophage,
@@ -805,9 +805,9 @@ Overview functions: genes and ge
anno_df,
n_gs = 20)
ggs
-#> IGRAPH 4157257 UN-- 266 656 --
+#> IGRAPH d3cb532 UN-- 266 656 --
#> + attr: name (v/c), nodetype (v/c), shape (v/c), color (v/c), title (v/c)
-#> + edges from 4157257 (vertex names):
+#> + edges from d3cb532 (vertex names):
#> [1] adaptive immune response--B2M adaptive immune response--BCL6
#> [3] adaptive immune response--BTN3A1 adaptive immune response--BTN3A2
#> [5] adaptive immune response--BTN3A3 adaptive immune response--C1QB
@@ -828,7 +828,7 @@ Overview functions: genes and ge
hover = TRUE),
nodesIdSelection = TRUE)
+-# with a dataset to compare against gs_radar(res_enrich = res_enrich_macrophage, res_enrich2 = res_enrich2)
In particular, the
gs_horizon
function tries to group +In particular, the
gs_horizon
function tries to group the different genesets based on their relative enrichment across conditions, similar to a representation of (Dutertre et al. 2019) (e.g. Fig. 5G). Thanks to Charlotte Soneson for providing a compact working implementation of @@ -1334,9 +1334,9 @@Session Info
+#> [10] tools_4.5.0 R6_2.5.1 DT_0.33 +#> [13] lazyeval_0.2.2 mgcv_1.9-1 GetoptLong_1.0.5 +#> [16] withr_3.0.2 prettyunits_1.2.0 gridExtra_2.3 +#> [19] cli_3.6.3 textshaping_0.4.1 labeling_0.4.3 +#> [22] sass_0.4.9 topGO_2.59.0 bs4Dash_2.3.4 +#> [25] ggridges_0.5.6 goseq_1.59.0 pkgdown_2.1.1.9000 +#> [28] Rsamtools_2.23.1 systemfonts_1.1.0 yulab.utils_0.1.9 +#> [31] gson_0.1.0 txdbmaker_1.3.1 DOSE_4.1.0 +#> [34] R.utils_2.12.3 RSQLite_2.3.9 gridGraphics_0.5-1 +#> [37] shape_1.4.6.1 BiocIO_1.17.1 crosstalk_1.2.1 +#> [40] dplyr_1.1.4 dendextend_1.19.0 GO.db_3.20.0 +#> [43] Matrix_1.7-1 abind_1.4-8 R.methodsS3_1.8.2 +#> [46] lifecycle_1.0.4 yaml_2.3.10 qvalue_2.39.0 +#> [49] SparseArray_1.7.2 BiocFileCache_2.15.0 grid_4.5.0 +#> [52] blob_1.2.4 promises_1.3.2 crayon_1.5.3 +#> [55] miniUI_0.1.1.1 ggtangle_0.0.6 lattice_0.22-6 +#> [58] ComplexUpset_1.3.6 cowplot_1.1.3 GenomicFeatures_1.59.1 +#> [61] KEGGREST_1.47.0 pillar_1.10.1 knitr_1.49 +#> [64] ComplexHeatmap_2.23.0 fgsea_1.33.2 rjson_0.2.23 +#> [67] codetools_0.2-20 fastmatch_1.1-6 glue_1.8.0 +#> [70] ggfun_0.1.8 data.table_1.16.4 vctrs_0.6.5 +#> [73] png_0.1-8 treeio_1.31.0 gtable_0.3.6 +#> [76] cachem_1.1.0 xfun_0.50 S4Arrays_1.7.1 +#> [79] mime_0.12 iterators_1.0.14 nlme_3.1-166 +#> [82] ggtree_3.15.0 bit64_4.5.2 progress_1.2.3 +#> [85] filelock_1.0.3 bslib_0.8.0 colorspace_2.1-1 +#> [88] DBI_1.2.3 tidyselect_1.2.1 bit_4.5.0.1 +#> [91] compiler_4.5.0 curl_6.1.0 httr2_1.0.7 +#> [94] graph_1.85.1 BiasedUrn_2.0.12 SparseM_1.84-2 +#> [97] expm_1.0-0 xml2_1.3.6 desc_1.4.3 +#> [100] DelayedArray_0.33.3 colourpicker_1.3.0 bookdown_0.42 +#> [103] rtracklayer_1.67.0 scales_1.3.0 mosdef_1.3.1 +#> [106] rappdirs_0.3.3 stringr_1.5.1 digest_0.6.37 +#> [109] rmarkdown_2.29 XVector_0.47.2 htmltools_0.5.8.1 +#> [112] pkgconfig_2.0.3 dbplyr_2.5.0 fastmap_1.2.0 +#> [115] rlang_1.1.4 GlobalOptions_0.1.2 htmlwidgets_1.6.4 +#> [118] UCSC.utils_1.3.0 shiny_1.10.0 farver_2.1.2 +#> [121] jquerylib_0.1.4 jsonlite_1.8.9 BiocParallel_1.41.0 +#> [124] GOSemSim_2.33.0 R.oo_1.27.0 RCurl_1.98-1.16 +#> [127] GenomeInfoDbData_1.2.13 ggplotify_0.1.2 patchwork_1.3.0 +#> [130] munsell_0.5.1 Rcpp_1.0.13-1 ape_5.8-1 +#> [133] shinycssloaders_1.1.0 viridis_0.6.5 stringi_1.8.4 +#> [136] rintrojs_0.3.4 zlibbioc_1.53.0 MASS_7.3-64 +#> [139] plyr_1.8.9 parallel_4.5.0 ggrepel_0.9.6 +#> [142] Biostrings_2.75.3 splines_4.5.0 hms_1.1.3 +#> [145] geneLenDataBase_1.43.0 circlize_0.4.16 locfit_1.5-9.10 +#> [148] reshape2_1.4.4 biomaRt_2.63.0 XML_3.99-0.18 +#> [151] evaluate_1.0.1 BiocManager_1.30.25 foreach_1.5.2 +#> [154] tweenr_2.0.3 httpuv_1.6.15 backbone_2.1.4 +#> [157] tidyr_1.3.1 purrr_1.0.2 polyclip_1.10-7 +#> [160] clue_0.3-66 ggforce_0.4.2 xtable_1.8-4 +#> [163] restfulr_0.0.15 tidytree_0.4.6 later_1.4.1 +#> [166] viridisLite_0.4.2 ragg_1.3.3 tibble_3.2.1 +#> [169] clusterProfiler_4.15.1 aplot_0.2.4 memoise_2.0.1 +#> [172] GenomicAlignments_1.43.0 cluster_2.1.8 shinyWidgets_0.8.7 +#> [175] shinyAce_0.4.3sessionInfo() -#> R Under development (unstable) (2024-12-13 r87441) +#> R Under development (unstable) (2025-01-03 r87521) #> Platform: aarch64-apple-darwin20 -#> Running under: macOS Sonoma 14.7.1 +#> Running under: macOS Sonoma 14.7.2 #> #> Matrix products: default #> BLAS: /Library/Frameworks/R.framework/Versions/4.5-arm64/Resources/lib/libRblas.0.dylib @@ -1352,74 +1352,74 @@
Session Info#> [1] stats4 stats graphics grDevices utils datasets methods base #> #> other attached packages: -#> [1] igraph_2.1.2 magrittr_2.0.3 visNetwork_2.1.2 +#> [1] igraph_2.1.3 magrittr_2.0.3 visNetwork_2.1.2 #> [4] plotly_4.10.4 ggplot2_3.5.1 org.Hs.eg.db_3.20.0 #> [7] AnnotationDbi_1.69.0 DESeq2_1.47.1 SummarizedExperiment_1.37.0 -#> [10] Biobase_2.67.0 MatrixGenerics_1.19.0 matrixStats_1.4.1 +#> [10] Biobase_2.67.0 MatrixGenerics_1.19.0 matrixStats_1.5.0 #> [13] GenomicRanges_1.59.1 GenomeInfoDb_1.43.2 IRanges_2.41.2 #> [16] S4Vectors_0.45.2 BiocGenerics_0.53.3 generics_0.1.3 -#> [19] macrophage_1.23.0 GeneTonic_3.1.0 BiocStyle_2.35.0 +#> [19] macrophage_1.23.0 GeneTonic_3.1.1 BiocStyle_2.35.0 #> #> loaded via a namespace (and not attached): -#> [1] fs_1.6.5 bitops_1.0-9 enrichplot_1.27.3 +#> [1] fs_1.6.5 bitops_1.0-9 enrichplot_1.27.4 #> [4] fontawesome_0.5.3 httr_1.4.7 RColorBrewer_1.1-3 #> [7] doParallel_1.0.17 dynamicTreeCut_1.63-1 tippy_0.1.0 -#> [10] tools_4.5.0 utf8_1.2.4 R6_2.5.1 -#> [13] DT_0.33 lazyeval_0.2.2 mgcv_1.9-1 -#> [16] GetoptLong_1.0.5 withr_3.0.2 prettyunits_1.2.0 -#> [19] gridExtra_2.3 cli_3.6.3 textshaping_0.4.1 -#> [22] labeling_0.4.3 sass_0.4.9 topGO_2.59.0 -#> [25] bs4Dash_2.3.4 ggridges_0.5.6 goseq_1.59.0 -#> [28] pkgdown_2.1.1.9000 Rsamtools_2.23.1 systemfonts_1.1.0 -#> [31] yulab.utils_0.1.8 gson_0.1.0 txdbmaker_1.3.1 -#> [34] DOSE_4.1.0 R.utils_2.12.3 RSQLite_2.3.9 -#> [37] gridGraphics_0.5-1 shape_1.4.6.1 BiocIO_1.17.1 -#> [40] crosstalk_1.2.1 dplyr_1.1.4 dendextend_1.19.0 -#> [43] GO.db_3.20.0 Matrix_1.7-1 fansi_1.0.6 -#> [46] abind_1.4-8 R.methodsS3_1.8.2 lifecycle_1.0.4 -#> [49] yaml_2.3.10 qvalue_2.39.0 SparseArray_1.7.2 -#> [52] BiocFileCache_2.15.0 grid_4.5.0 blob_1.2.4 -#> [55] promises_1.3.2 crayon_1.5.3 miniUI_0.1.1.1 -#> [58] ggtangle_0.0.5 lattice_0.22-6 ComplexUpset_1.3.6 -#> [61] cowplot_1.1.3 GenomicFeatures_1.59.1 KEGGREST_1.47.0 -#> [64] pillar_1.9.0 knitr_1.49 ComplexHeatmap_2.23.0 -#> [67] fgsea_1.33.0 rjson_0.2.23 codetools_0.2-20 -#> [70] fastmatch_1.1-4 glue_1.8.0 ggfun_0.1.8 -#> [73] data.table_1.16.4 vctrs_0.6.5 png_0.1-8 -#> [76] treeio_1.31.0 gtable_0.3.6 cachem_1.1.0 -#> [79] xfun_0.49 S4Arrays_1.7.1 mime_0.12 -#> [82] iterators_1.0.14 nlme_3.1-166 ggtree_3.15.0 -#> [85] bit64_4.5.2 progress_1.2.3 filelock_1.0.3 -#> [88] bslib_0.8.0 colorspace_2.1-1 DBI_1.2.3 -#> [91] tidyselect_1.2.1 bit_4.5.0.1 compiler_4.5.0 -#> [94] curl_6.0.1 httr2_1.0.7 graph_1.85.0 -#> [97] BiasedUrn_2.0.12 SparseM_1.84-2 expm_1.0-0 -#> [100] xml2_1.3.6 desc_1.4.3 DelayedArray_0.33.3 -#> [103] colourpicker_1.3.0 bookdown_0.41 rtracklayer_1.67.0 -#> [106] scales_1.3.0 mosdef_1.3.0 rappdirs_0.3.3 -#> [109] stringr_1.5.1 digest_0.6.37 rmarkdown_2.29 -#> [112] XVector_0.47.0 htmltools_0.5.8.1 pkgconfig_2.0.3 -#> [115] dbplyr_2.5.0 fastmap_1.2.0 rlang_1.1.4 -#> [118] GlobalOptions_0.1.2 htmlwidgets_1.6.4 UCSC.utils_1.3.0 -#> [121] shiny_1.10.0 farver_2.1.2 jquerylib_0.1.4 -#> [124] jsonlite_1.8.9 BiocParallel_1.41.0 GOSemSim_2.33.0 -#> [127] R.oo_1.27.0 RCurl_1.98-1.16 GenomeInfoDbData_1.2.13 -#> [130] ggplotify_0.1.2 patchwork_1.3.0 munsell_0.5.1 -#> [133] Rcpp_1.0.13-1 ape_5.8-1 shinycssloaders_1.1.0 -#> [136] viridis_0.6.5 stringi_1.8.4 rintrojs_0.3.4 -#> [139] zlibbioc_1.53.0 MASS_7.3-61 plyr_1.8.9 -#> [142] parallel_4.5.0 ggrepel_0.9.6 Biostrings_2.75.3 -#> [145] splines_4.5.0 hms_1.1.3 geneLenDataBase_1.43.0 -#> [148] circlize_0.4.16 locfit_1.5-9.10 reshape2_1.4.4 -#> [151] biomaRt_2.63.0 XML_3.99-0.17 evaluate_1.0.1 -#> [154] BiocManager_1.30.25 foreach_1.5.2 tweenr_2.0.3 -#> [157] httpuv_1.6.15 backbone_2.1.4 tidyr_1.3.1 -#> [160] purrr_1.0.2 polyclip_1.10-7 clue_0.3-66 -#> [163] ggforce_0.4.2 xtable_1.8-4 restfulr_0.0.15 -#> [166] tidytree_0.4.6 later_1.4.1 viridisLite_0.4.2 -#> [169] ragg_1.3.3 tibble_3.2.1 clusterProfiler_4.15.1 -#> [172] aplot_0.2.3 memoise_2.0.1 GenomicAlignments_1.43.0 -#> [175] cluster_2.1.8 shinyWidgets_0.8.7 shinyAce_0.4.3
NEWS.md
+ gene_plot()
defaults now to NULL in the intgroup
parameter, which translates into using the first colData
itemA DESeqDataSet
object.
A DESeq2::DESeqDataSet()
object.
A DESeqResults
object.
A DESeq2::DESeqResults()
object.
gene_plot(
dds,
gene,
- intgroup = "condition",
+ intgroup = NULL,
assay = "counts",
annotation_obj = NULL,
normalized = TRUE,
@@ -104,7 +104,8 @@ Arguments
- intgroup
A character vector of names in colData(dds)
to use for grouping.
-Note: the vector components should be categorical variables.
+Note: the vector components should be categorical variables. Defaults
+to NULL, which which would then select the first column of the colData
slot.
- assay
diff --git a/reference/geneinfo_2_html.html b/reference/geneinfo_2_html.html
index 0baa760..cce1120 100644
--- a/reference/geneinfo_2_html.html
+++ b/reference/geneinfo_2_html.html
@@ -17,7 +17,7 @@
A vector of characters specifying the definition of colors for the
-palette, e.g. obtained via brewer.pal
RColorBrewer::brewer.pal()
A plot returned by the ggplot()
function
A ggplot
object