From a75afc9c6a79a07abb7dbfb2623230acd019588b Mon Sep 17 00:00:00 2001 From: Sergi Sayols Date: Tue, 17 Oct 2023 13:17:14 +0200 Subject: [PATCH] fix documentation of reduceSimMatrix --- DESCRIPTION | 2 +- R/rrvgo.R | 8 +- docs/404.html | 2 +- docs/LICENSE-text.html | 2 +- docs/articles/index.html | 2 +- docs/articles/rrvgo.html | 89 ++++++++++-------- .../figure-html/unnamed-chunk-4-1.png | Bin 173665 -> 173659 bytes .../figure-html/unnamed-chunk-6-1.png | Bin 91339 -> 90252 bytes docs/authors.html | 2 +- docs/index.html | 2 +- docs/pkgdown.yml | 2 +- docs/reference/Rplot001.png | Bin 30713 -> 31020 bytes docs/reference/calculateSimMatrix.html | 2 +- docs/reference/getGoSize.html | 2 +- docs/reference/getGoTerm.html | 2 +- docs/reference/getTermDisp.html | 2 +- docs/reference/getTermUniq.html | 2 +- docs/reference/gg_color_hue.html | 2 +- docs/reference/heatmapPlot.html | 2 +- docs/reference/index.html | 2 +- docs/reference/loadOrgdb.html | 2 +- docs/reference/reduceSimMatrix.html | 11 ++- docs/reference/scatterPlot-1.png | Bin 174004 -> 173459 bytes docs/reference/scatterPlot.html | 2 +- docs/reference/shiny_rrvgo.html | 2 +- docs/reference/treemapPlot.html | 2 +- docs/reference/wordcloudPlot-1.png | Bin 103055 -> 103112 bytes docs/reference/wordcloudPlot.html | 2 +- man/reduceSimMatrix.Rd | 8 +- vignettes/rrvgo.Rmd | 25 +++-- 30 files changed, 99 insertions(+), 82 deletions(-) diff --git a/DESCRIPTION b/DESCRIPTION index 8734c1f..91caf34 100644 --- a/DESCRIPTION +++ b/DESCRIPTION @@ -1,7 +1,7 @@ Package: rrvgo Type: Package Title: Reduce + Visualize GO -Version: 1.13.1 +Version: 1.13.2 Authors@R: c(person("Sergi", "Sayols", email = "sergisayolspuig@gmail.com", role = c("aut", "cre")), person("Sara", "Elmeligy", role = "ctb")) Description: Reduce and visualize lists of Gene Ontology terms by identifying redudance based on semantic similarity. URL: https://www.bioconductor.org/packages/rrvgo, https://ssayols.github.io/rrvgo/index.html diff --git a/R/rrvgo.R b/R/rrvgo.R index 02e5afb..5325e24 100644 --- a/R/rrvgo.R +++ b/R/rrvgo.R @@ -66,15 +66,17 @@ calculateSimMatrix <- function(x, #' Reduce a set of GO terms based on their semantic similarity and scores. #' #' @details +#' Remove terms with a similarity below `threshold`. Decide which term +#' remains based on a score. If no score is provided, then decide based on the +#' "uniqueness" or the term "size". +#' #' Currently, rrvgo uses the similarity between pairs of terms to compute a #' distance matrix, defined as (1-simMatrix). The terms are then hierarchically #' clustered using complete linkage, and the tree is cut at the desired threshold, #' picking the term with the highest score as the representative of each group. #' #' Therefore, higher thresholds lead to fewer groups, and the threshold should be -#' read as the expected similarity of terms within a group (though this is not -#' entirely correct, and you'll see similarities below this threshold being put in -#' the same group). +#' read as the minimum similarity between group representatives. #' #' @param simMatrix a (square) similarity matrix #' @param scores one of c("uniqueness", "size"), or a *named* vector with scores diff --git a/docs/404.html b/docs/404.html index 5f5e5a1..984d98d 100644 --- a/docs/404.html +++ b/docs/404.html @@ -32,7 +32,7 @@ rrvgo - 1.12.1 + 1.13.2 diff --git a/docs/LICENSE-text.html b/docs/LICENSE-text.html index 2565b89..c2ce171 100644 --- a/docs/LICENSE-text.html +++ b/docs/LICENSE-text.html @@ -17,7 +17,7 @@ rrvgo - 1.12.1 + 1.13.2 diff --git a/docs/articles/index.html b/docs/articles/index.html index f1c9344..6f5cfc8 100644 --- a/docs/articles/index.html +++ b/docs/articles/index.html @@ -17,7 +17,7 @@ rrvgo - 1.12.1 + 1.13.2 diff --git a/docs/articles/rrvgo.html b/docs/articles/rrvgo.html index a9084be..c51147c 100644 --- a/docs/articles/rrvgo.html +++ b/docs/articles/rrvgo.html @@ -33,7 +33,7 @@ rrvgo - 1.12.1 + 1.13.2 @@ -63,7 +63,7 @@

Using the rrvgo package

Sergi Sayols

-

2023-09-06

+

2023-10-17

@@ -151,17 +151,25 @@

Calculating the scores, threshold=0.7, orgdb="org.Hs.eg.db") -

reduceSimMatrix selects as the group representative the -term with the higher score within the group. In case the vector of -scores is not available, reduceSimMatrix can either use the +

reduceSimMatrix groups terms with a similarity below +threshold, and selects as the group representative the term +with the higher score within the group. In case the vector of scores is +not available, reduceSimMatrix can either use the uniqueness of a term (default), or the GO term size. -In this case, rrvgo will fetch the GO term size from the -OrgDb object and use it as the score, thus favoring broader -terms. Please note that scores are interpreted in the direction -that higher are better, therefore if you use p-values as -scores, minus log-transform them before.

-

Higher thresholds force higher similarity between terms of a groups, -resulting in more groups containing less similar terms.

+In the case of size, rrvgo will fetch the GO term +size from the OrgDb object and use it as the score, thus +favoring broader terms. Please note that scores are interpreted +in the direction that higher are better, therefore if you use +p-values as scores, minus log-transform them before.

+

NOTE:rrvgo uses the similarity between +pairs of terms to compute a distance matrix, defined as +(1-simMatrix). The terms are then hierarchically clustered +using complete linkage, and the tree is cut at the desired threshold, +picking the term with the highest score as the representative of each +group.
+Therefore, higher thresholds lead to fewer groups, and the threshold +should be read as the minimum similarity between group +representatives.

Plotting and interpretation @@ -427,7 +435,7 @@

Session info## [1] stats graphics grDevices utils datasets methods base ## ## other attached packages: -## [1] rrvgo_1.10.1 knitr_1.43 BiocStyle_2.28.0 +## [1] rrvgo_1.13.2 knitr_1.44 BiocStyle_2.28.1 ## ## loaded via a namespace (and not attached): ## [1] DBI_1.1.3 bitops_1.0-7 rlang_1.1.1 @@ -436,36 +444,35 @@

Session info## [10] vctrs_0.6.3 stringr_1.5.0 pkgconfig_2.0.3 ## [13] crayon_1.5.2 fastmap_1.1.1 XVector_0.40.0 ## [16] ellipsis_0.3.2 labeling_0.4.3 utf8_1.2.3 -## [19] promises_1.2.1 rmarkdown_2.24 ragg_1.2.5 +## [19] promises_1.2.1 rmarkdown_2.25 ragg_1.2.5 ## [22] purrr_1.0.2 bit_4.0.5 xfun_0.40 ## [25] zlibbioc_1.46.0 cachem_1.0.8 GenomeInfoDb_1.36.2 -## [28] jsonlite_1.8.7 blob_1.2.4 highr_0.10 -## [31] later_1.3.1 parallel_4.3.1 R6_2.5.1 -## [34] bslib_0.5.1 stringi_1.7.12 RColorBrewer_1.1-3 -## [37] reticulate_1.31 jquerylib_0.1.4 GOSemSim_2.26.1 -## [40] Rcpp_1.0.11 bookdown_0.35 IRanges_2.34.1 -## [43] httpuv_1.6.11 Matrix_1.6-1 igraph_1.5.1 -## [46] tidyselect_1.2.0 yaml_2.3.7 codetools_0.2-19 -## [49] lattice_0.21-8 tibble_3.2.1 Biobase_2.60.0 -## [52] shiny_1.7.5 withr_2.5.0 KEGGREST_1.40.0 -## [55] askpass_1.2.0 evaluate_0.21 treemap_2.4-4 -## [58] desc_1.4.2 xml2_1.3.5 Biostrings_2.68.1 -## [61] pillar_1.9.0 BiocManager_1.30.22 stats4_4.3.1 -## [64] NLP_0.2-1 generics_0.1.3 rprojroot_2.0.3 -## [67] RCurl_1.98-1.12 S4Vectors_0.38.1 ggplot2_3.4.3 -## [70] munsell_0.5.0 scales_1.2.1 xtable_1.8-4 -## [73] glue_1.6.2 slam_0.1-50 pheatmap_1.0.12 -## [76] tools_4.3.1 tm_0.7-11 data.table_1.14.8 -## [79] RSpectra_0.16-1 fs_1.6.3 grid_4.3.1 -## [82] umap_0.2.10.0 AnnotationDbi_1.62.2 colorspace_2.1-0 -## [85] GenomeInfoDbData_1.2.10 cli_3.6.1 textshaping_0.3.6 -## [88] fansi_1.0.4 dplyr_1.1.3 gtable_0.3.4 -## [91] sass_0.4.7 digest_0.6.33 BiocGenerics_0.46.0 -## [94] wordcloud_2.6 ggrepel_0.9.3 org.Hs.eg.db_3.17.0 -## [97] farver_2.1.1 memoise_2.0.1 htmltools_0.5.6 -## [100] pkgdown_2.0.7 lifecycle_1.0.3 httr_1.4.7 -## [103] GO.db_3.17.0 mime_0.12 openssl_2.1.0 -## [106] bit64_4.0.5 +## [28] jsonlite_1.8.7 blob_1.2.4 later_1.3.1 +## [31] parallel_4.3.1 R6_2.5.1 bslib_0.5.1 +## [34] stringi_1.7.12 RColorBrewer_1.1-3 reticulate_1.31 +## [37] jquerylib_0.1.4 GOSemSim_2.26.1 Rcpp_1.0.11 +## [40] bookdown_0.35 IRanges_2.34.1 httpuv_1.6.11 +## [43] Matrix_1.6-1 igraph_1.5.1 tidyselect_1.2.0 +## [46] yaml_2.3.7 codetools_0.2-19 lattice_0.21-9 +## [49] tibble_3.2.1 Biobase_2.60.0 shiny_1.7.5 +## [52] withr_2.5.0 KEGGREST_1.40.0 askpass_1.2.0 +## [55] evaluate_0.21 treemap_2.4-4 desc_1.4.2 +## [58] xml2_1.3.5 Biostrings_2.68.1 pillar_1.9.0 +## [61] BiocManager_1.30.22 stats4_4.3.1 NLP_0.2-1 +## [64] generics_0.1.3 rprojroot_2.0.3 RCurl_1.98-1.12 +## [67] S4Vectors_0.38.1 ggplot2_3.4.3 munsell_0.5.0 +## [70] scales_1.2.1 xtable_1.8-4 glue_1.6.2 +## [73] slam_0.1-50 pheatmap_1.0.12 tools_4.3.1 +## [76] tm_0.7-11 data.table_1.14.8 RSpectra_0.16-1 +## [79] fs_1.6.3 grid_4.3.1 umap_0.2.10.0 +## [82] AnnotationDbi_1.62.2 colorspace_2.1-0 GenomeInfoDbData_1.2.10 +## [85] cli_3.6.1 textshaping_0.3.6 fansi_1.0.4 +## [88] dplyr_1.1.3 gtable_0.3.4 sass_0.4.7 +## [91] digest_0.6.33 BiocGenerics_0.46.0 wordcloud_2.6 +## [94] ggrepel_0.9.3 org.Hs.eg.db_3.17.0 farver_2.1.1 +## [97] memoise_2.0.1 htmltools_0.5.6 pkgdown_2.0.7 +## [100] lifecycle_1.0.3 httr_1.4.7 GO.db_3.17.0 +## [103] mime_0.12 openssl_2.1.0 bit64_4.0.5

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+ 1.13.2 diff --git a/docs/reference/getGoTerm.html b/docs/reference/getGoTerm.html index 6576bb7..b7c4ac5 100644 --- a/docs/reference/getGoTerm.html +++ b/docs/reference/getGoTerm.html @@ -20,7 +20,7 @@ rrvgo - 1.12.1 + 1.13.2 diff --git a/docs/reference/getTermDisp.html b/docs/reference/getTermDisp.html index 02b7305..5185d22 100644 --- a/docs/reference/getTermDisp.html +++ b/docs/reference/getTermDisp.html @@ -26,7 +26,7 @@ rrvgo - 1.12.1 + 1.13.2 diff --git a/docs/reference/getTermUniq.html b/docs/reference/getTermUniq.html index 428f522..7171b42 100644 --- a/docs/reference/getTermUniq.html +++ b/docs/reference/getTermUniq.html @@ -23,7 +23,7 @@ rrvgo - 1.12.1 + 1.13.2 diff --git a/docs/reference/gg_color_hue.html b/docs/reference/gg_color_hue.html index 46420ba..fff0f81 100644 --- a/docs/reference/gg_color_hue.html +++ b/docs/reference/gg_color_hue.html @@ -20,7 +20,7 @@ rrvgo - 1.12.1 + 1.13.2 diff --git a/docs/reference/heatmapPlot.html b/docs/reference/heatmapPlot.html index dd6f47c..71cd6d7 100644 --- a/docs/reference/heatmapPlot.html +++ b/docs/reference/heatmapPlot.html @@ -20,7 +20,7 @@ rrvgo - 1.12.1 + 1.13.2 diff --git a/docs/reference/index.html b/docs/reference/index.html index 7ec321c..64350e4 100644 --- a/docs/reference/index.html +++ b/docs/reference/index.html @@ -17,7 +17,7 @@ rrvgo - 1.12.1 + 1.13.2 diff --git a/docs/reference/loadOrgdb.html b/docs/reference/loadOrgdb.html index 4eb0ee3..41b4b7a 100644 --- a/docs/reference/loadOrgdb.html +++ b/docs/reference/loadOrgdb.html @@ -20,7 +20,7 @@ rrvgo - 1.12.1 + 1.13.2 diff --git a/docs/reference/reduceSimMatrix.html b/docs/reference/reduceSimMatrix.html index befbba8..c04c6a7 100644 --- a/docs/reference/reduceSimMatrix.html +++ b/docs/reference/reduceSimMatrix.html @@ -20,7 +20,7 @@ rrvgo - 1.12.1 + 1.13.2 @@ -101,14 +101,15 @@

Value

Details

-

Currently, rrvgo uses the similarity between pairs of terms to compute a +

Remove terms with a similarity below `threshold`. Decide which term +remains based on a score. If no score is provided, then decide based on the +"uniqueness" or the term "size".

+

Currently, rrvgo uses the similarity between pairs of terms to compute a distance matrix, defined as (1-simMatrix). The terms are then hierarchically clustered using complete linkage, and the tree is cut at the desired threshold, picking the term with the highest score as the representative of each group.

Therefore, higher thresholds lead to fewer groups, and the threshold should be -read as the expected similarity of terms within a group (though this is not -entirely correct, and you'll see similarities below this threshold being put in -the same group).

+read as the minimum similarity between group representatives.

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reduceSimMatrix Reduce a set of GO terms based on their semantic similarity and scores. } \details{ +Remove terms with a similarity below `threshold`. Decide which term +remains based on a score. If no score is provided, then decide based on the +"uniqueness" or the term "size". + Currently, rrvgo uses the similarity between pairs of terms to compute a distance matrix, defined as (1-simMatrix). The terms are then hierarchically clustered using complete linkage, and the tree is cut at the desired threshold, picking the term with the highest score as the representative of each group. Therefore, higher thresholds lead to fewer groups, and the threshold should be -read as the expected similarity of terms within a group (though this is not -entirely correct, and you'll see similarities below this threshold being put in -the same group). +read as the minimum similarity between group representatives. } \examples{ go_analysis <- read.delim(system.file("extdata/example.txt", package="rrvgo")) diff --git a/vignettes/rrvgo.Rmd b/vignettes/rrvgo.Rmd index fe2523c..ebf7014 100644 --- a/vignettes/rrvgo.Rmd +++ b/vignettes/rrvgo.Rmd @@ -87,16 +87,21 @@ reducedTerms <- reduceSimMatrix(simMatrix, orgdb="org.Hs.eg.db") ``` -`reduceSimMatrix` selects as the group representative the term with the higher -score within the group. In case the vector of scores is not available, -`reduceSimMatrix` can either use the *uniqueness* of a term (default), or the -GO term *size*. In this case, `rrvgo` will fetch the GO term size from the -`OrgDb` object and use it as the score, thus favoring broader terms. **Please -note that scores are interpreted in the direction that higher are better**, -therefore if you use p-values as scores, minus log-transform them before. - -Higher thresholds force higher similarity between terms of a groups, resulting -in more groups containing less similar terms. +`reduceSimMatrix` groups terms with a similarity below `threshold`, and selects +as the group representative the term with the higher score within the group. In +case the vector of scores is not available, `reduceSimMatrix` can either use +the *uniqueness* of a term (default), or the GO term *size*. In the case of +*size*, `rrvgo` will fetch the GO term size from the `OrgDb` object and use it +as the score, thus favoring broader terms. **Please note that scores are +interpreted in the direction that higher are better**, therefore if you use +p-values as scores, minus log-transform them before. + +**NOTE:**`rrvgo` uses the similarity between pairs of terms to compute a distance +matrix, defined as `(1-simMatrix)`. The terms are then hierarchically clustered +using complete linkage, and the tree is cut at the desired threshold, picking +the term with the highest score as the representative of each group. +Therefore, higher thresholds lead to fewer groups, and the threshold should be +read as the minimum similarity between group representatives. ## Plotting and interpretation