Last updated: 2021-09-13

Checks: 7 0

Knit directory: mistyMBC/

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Ignored files:
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Note that any generated files, e.g. HTML, png, CSS, etc., are not included in this status report because it is ok for generated content to have uncommitted changes.


These are the previous versions of the repository in which changes were made to the R Markdown (analysis/browse_results.Rmd) and HTML (docs/browse_results.html) files. If you’ve configured a remote Git repository (see ?wflow_git_remote), click on the hyperlinks in the table below to view the files as they were in that past version.

File Version Author Date Message
Rmd b562161 Jovan Tanevski 2021-09-13 merge codex and merfish results
html c457348 Jovan Tanevski 2021-09-09 Build site.
html aa6ca6b Jovan Tanevski 2021-09-09 Build site.
Rmd 04b30ad Jovan Tanevski 2021-09-09 clean up results, focus on targets with gain
html 2438eb2 Jovan Tanevski 2021-09-09 Build site.
Rmd b124494 Jovan Tanevski 2021-09-09 update codex,merfish; add slideseq cellcom results
html e0c1952 Jovan Tanevski 2021-07-22 Build site.
html 4dd6a02 Jovan Tanevski 2021-07-14 Build site.
html 913535e Jovan Tanevski 2021-06-17 Build site.
Rmd 736d8e3 Jovan Tanevski 2021-06-17 subset merfish results
html 1b68c27 Jovan Tanevski 2021-06-15 Build site.
Rmd 43913a8 Jovan Tanevski 2021-06-15 auto publish date
Rmd 34b1d9e Jovan Tanevski 2021-06-15 explicit codex, merfish and exseq
html e445e6f Jovan Tanevski 2021-06-11 Build site.
Rmd dd0219f Jovan Tanevski 2021-06-11 add result browsing example

Setup

Load necessary libraries

library(stringr)
library(dplyr)
library(mistyR)
library(future)

plan(multisession)        

Output collection

Find the location of the results for all samples

outputs <- str_subset(list.dirs("output"), "processed") %>% 
  str_subset("failed", negate = TRUE)

Collect the results for all samples, single modality and all replicates

misty.results.codex <- collect_results(str_subset(outputs, "codex"))

Collecting improvements

Collecting contributions

Collecting importances

Aggregating
misty.results.merfish <- collect_results(str_subset(outputs, "merfish"))

Collecting improvements

Collecting contributions

Collecting importances

Aggregating
misty.results.ligrcp <- collect_results(str_subset(outputs, "ligrcp"))

Collecting improvements

Collecting contributions

Collecting importances

Aggregating
misty.results.ligpath <- collect_results(str_subset(outputs, "ligpath"))

Collecting improvements

Collecting contributions

Collecting importances

Aggregating

Plot basic results

CODEX

Filter only genes with mean gain in variance explained of 1 or more to plot the gain and view contributions

misty.results.codex %>%
  plot_improvement_stats(trim = 1) %>%
  plot_view_contributions(trim = 1)

Version Author Date
2438eb2 Jovan Tanevski 2021-09-09
913535e Jovan Tanevski 2021-06-17

Version Author Date
2438eb2 Jovan Tanevski 2021-09-09
4dd6a02 Jovan Tanevski 2021-07-14
913535e Jovan Tanevski 2021-06-17

Plot interaction heatmaps

misty.results.codex %>%
  plot_interaction_heatmap("intra", cutoff = 3, clean = TRUE) %>%
  plot_interaction_heatmap("juxta.15", cutoff = 0.75, clean = TRUE, trim = 1) %>%
  plot_interaction_heatmap("para.100", cutoff = 0.75, clean = TRUE, trim = 1)

Version Author Date
2438eb2 Jovan Tanevski 2021-09-09
913535e Jovan Tanevski 2021-06-17
e445e6f Jovan Tanevski 2021-06-11

Version Author Date
aa6ca6b Jovan Tanevski 2021-09-09
2438eb2 Jovan Tanevski 2021-09-09
4dd6a02 Jovan Tanevski 2021-07-14
913535e Jovan Tanevski 2021-06-17
e445e6f Jovan Tanevski 2021-06-11

Version Author Date
aa6ca6b Jovan Tanevski 2021-09-09
2438eb2 Jovan Tanevski 2021-09-09
913535e Jovan Tanevski 2021-06-17
e445e6f Jovan Tanevski 2021-06-11

Plot contrasts

misty.results.codex %>%
  plot_contrast_heatmap("intra", "juxta.15", cutoff = 0.75, trim = 1) %>%
  plot_contrast_heatmap("intra", "para.100", cutoff = 0.75, trim = 1)

Version Author Date
aa6ca6b Jovan Tanevski 2021-09-09
2438eb2 Jovan Tanevski 2021-09-09
e0c1952 Jovan Tanevski 2021-07-22
913535e Jovan Tanevski 2021-06-17
1b68c27 Jovan Tanevski 2021-06-15

Version Author Date
aa6ca6b Jovan Tanevski 2021-09-09
2438eb2 Jovan Tanevski 2021-09-09
e0c1952 Jovan Tanevski 2021-07-22
913535e Jovan Tanevski 2021-06-17
1b68c27 Jovan Tanevski 2021-06-15

Plot interaction communities

misty.results.codex %>%    
  plot_interaction_communities("intra", cutoff = 3) %>%
  plot_interaction_communities("juxta.15", cutoff = 1) %>%
  plot_interaction_communities("para.100", cutoff = 1)

Version Author Date
2438eb2 Jovan Tanevski 2021-09-09

Version Author Date
aa6ca6b Jovan Tanevski 2021-09-09
2438eb2 Jovan Tanevski 2021-09-09

Version Author Date
aa6ca6b Jovan Tanevski 2021-09-09
2438eb2 Jovan Tanevski 2021-09-09

MERFISH

Filter only genes with mean gain in variance explained of 1 or more to plot the gain and view contributions

misty.results.merfish %>%
  plot_improvement_stats(trim = 1) %>%
  plot_view_contributions(trim = 1)

Version Author Date
2438eb2 Jovan Tanevski 2021-09-09

Version Author Date
2438eb2 Jovan Tanevski 2021-09-09

Plot interaction heatmaps

misty.results.merfish %>%
  plot_interaction_heatmap("intra", cutoff = 6, clean = TRUE) %>%
  plot_interaction_heatmap("juxta.15", cutoff = 2, clean = TRUE, trim = 1) %>%
  plot_interaction_heatmap("para.100", cutoff = 1, clean = TRUE, trim = 1)

Version Author Date
aa6ca6b Jovan Tanevski 2021-09-09
2438eb2 Jovan Tanevski 2021-09-09

Version Author Date
aa6ca6b Jovan Tanevski 2021-09-09
2438eb2 Jovan Tanevski 2021-09-09

Version Author Date
aa6ca6b Jovan Tanevski 2021-09-09
2438eb2 Jovan Tanevski 2021-09-09

Plot contrasts

misty.results.merfish %>% 
  plot_contrast_heatmap("intra", "juxta.15", cutoff = 1.5, trim = 1) %>%  
  plot_contrast_heatmap("intra", "para.100", cutoff = 1, trim = 1)

Version Author Date
aa6ca6b Jovan Tanevski 2021-09-09
2438eb2 Jovan Tanevski 2021-09-09

Version Author Date
aa6ca6b Jovan Tanevski 2021-09-09
2438eb2 Jovan Tanevski 2021-09-09

Plot interaction communities

misty.results.merfish %>%    
  plot_interaction_communities("intra", cutoff = 6) %>%
  plot_interaction_communities("juxta.15", cutoff = 3) %>%
  plot_interaction_communities("para.100", cutoff = 1.5)

Version Author Date
aa6ca6b Jovan Tanevski 2021-09-09
2438eb2 Jovan Tanevski 2021-09-09

Version Author Date
aa6ca6b Jovan Tanevski 2021-09-09
2438eb2 Jovan Tanevski 2021-09-09

Version Author Date
aa6ca6b Jovan Tanevski 2021-09-09
2438eb2 Jovan Tanevski 2021-09-09

Merge CODEX and MERFISH results

Filter only genes with mean gain in variance explained of 1 or more to plot the gain and view contributions

misty.results.merged <- collect_results(str_subset(outputs, "codex|merfish"))

Collecting improvements

Collecting contributions

Collecting importances

Aggregating
misty.results.merged %>% plot_improvement_stats(trim = 1) %>%
  plot_view_contributions(trim = 1)

Version Author Date
2438eb2 Jovan Tanevski 2021-09-09

Version Author Date
2438eb2 Jovan Tanevski 2021-09-09

Plot interaction heatmaps

misty.results.merged %>%
  plot_interaction_heatmap("intra", cutoff = 6, clean = TRUE) %>%
  plot_interaction_heatmap("juxta.15", cutoff = 1.5, clean = TRUE, trim = 1) %>%
  plot_interaction_heatmap("para.100", cutoff = 1, clean = TRUE, trim = 1)

Version Author Date
2438eb2 Jovan Tanevski 2021-09-09

Version Author Date
2438eb2 Jovan Tanevski 2021-09-09

SlideSeq

Filter only ligands then pathways with mean gain in variance explained of 1 or more to plot the gain and view contributions

misty.results.ligrcp %>% 
  plot_improvement_stats(trim = 0.5) %>%
  plot_view_contributions(trim = 0.5)
Warning: Removed 1 rows containing missing values (geom_segment).

Version Author Date
2438eb2 Jovan Tanevski 2021-09-09

Version Author Date
aa6ca6b Jovan Tanevski 2021-09-09
2438eb2 Jovan Tanevski 2021-09-09
misty.results.ligpath %>% 
  plot_improvement_stats(trim = 1) %>%
  plot_view_contributions(trim = 1)

Version Author Date
aa6ca6b Jovan Tanevski 2021-09-09
2438eb2 Jovan Tanevski 2021-09-09

Plot interaction heatmaps

  misty.results.ligrcp %>%
    plot_interaction_heatmap("intra", cutoff = 5, clean = TRUE) %>%
    plot_interaction_heatmap("para.100", cutoff = 2, clean = TRUE, trim = 0.5)

misty.results.ligpath %>%
    plot_interaction_heatmap("intra", cutoff = 1, clean = TRUE) %>%
    plot_interaction_heatmap("para.100", cutoff = 1.5, clean = TRUE, trim = 1)

Plot intrinsic pathway communities

misty.results.ligpath %>% plot_interaction_communities("intra", cutoff = 1)


sessionInfo()
R version 4.1.1 (2021-08-10)
Platform: x86_64-apple-darwin17.0 (64-bit)
Running under: macOS Big Sur 10.16

Matrix products: default
BLAS:   /Library/Frameworks/R.framework/Versions/4.1/Resources/lib/libRblas.0.dylib
LAPACK: /Library/Frameworks/R.framework/Versions/4.1/Resources/lib/libRlapack.dylib

locale:
[1] en_US.UTF-8/en_US.UTF-8/en_US.UTF-8/C/en_US.UTF-8/en_US.UTF-8

attached base packages:
[1] stats     graphics  grDevices utils     datasets  methods   base     

other attached packages:
[1] future_1.22.1   mistyR_1.1.9    dplyr_1.0.7     stringr_1.4.0  
[5] workflowr_1.6.2

loaded via a namespace (and not attached):
 [1] tidyselect_1.1.1   xfun_0.25          bslib_0.3.0        purrr_0.3.4       
 [5] listenv_0.8.0      colorspace_2.0-2   vctrs_0.3.8        generics_0.1.0    
 [9] htmltools_0.5.2    yaml_2.2.1         utf8_1.2.2         rlang_0.4.11      
[13] R.oo_1.24.0        jquerylib_0.1.4    later_1.3.0        pillar_1.6.2      
[17] glue_1.4.2         DBI_1.1.1          R.utils_2.10.1     RColorBrewer_1.1-2
[21] lifecycle_1.0.0    munsell_0.5.0      gtable_0.3.0       R.methodsS3_1.8.1 
[25] codetools_0.2-18   evaluate_0.14      labeling_0.4.2     knitr_1.34        
[29] fastmap_1.1.0      httpuv_1.6.3       parallel_4.1.1     fansi_0.5.0       
[33] highr_0.9          furrr_0.2.3        Rcpp_1.0.7         scales_1.1.1      
[37] promises_1.2.0.1   jsonlite_1.7.2     farver_2.1.0       parallelly_1.28.1 
[41] fs_1.5.0           ggplot2_3.3.5      digest_0.6.27      stringi_1.7.4     
[45] rprojroot_2.0.2    grid_4.1.1         tools_4.1.1        magrittr_2.0.1    
[49] sass_0.4.0         tibble_3.1.4       crayon_1.4.1       whisker_0.4       
[53] tidyr_1.1.3        pkgconfig_2.0.3    ellipsis_0.3.2     assertthat_0.2.1  
[57] rmarkdown_2.10     R6_2.5.1           globals_0.14.0     igraph_1.2.6      
[61] git2r_0.28.0       compiler_4.1.1