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BioCellGen-public
MAGE_2020_Marker-Gene-Benchmarking
Commits
24ee16ab
Commit
24ee16ab
authored
2 years ago
by
Jeffrey Pullin
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Add script to create manuscript figures
parent
980fa8f9
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Pipeline
#10193
passed
2 years ago
Stage: deploy
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code/manuscript-figures.R
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24ee16ab
library
(
ggplot2
)
library
(
patchwork
)
# Conceptual figure (components)
rank_rank
<-
readRDS
(
here
::
here
(
"figures"
,
"raw"
,
"rank-rank-scanpy-default-seurat-default.rds"
)
)
prop_intersect
<-
readRDS
(
here
::
here
(
"figures"
,
"raw"
,
"scanpy-seurat-intersection.rds"
)
)
conceptual_figure_bottom
<-
prop_intersect
+
rank_rank
+
plot_layout
(
nrow
=
1
,
widths
=
c
(
1
,
1
))
conceptual_figure_bottom
ggsave
(
filename
=
here
::
here
(
"figures"
,
"final"
,
"conceptual-figure-bottom.pdf"
),
plot
=
conceptual_figure_bottom
,
width
=
12
,
height
=
4
,
units
=
"in"
)
raw_tsne
<-
readRDS
(
here
::
here
(
"figures"
,
"raw"
,
"raw-tsne.rds"
)
)
ggsave
(
filename
=
here
::
here
(
"figures"
,
"final"
,
"raw-tsne.pdf"
),
plot
=
raw_tsne
,
width
=
4
,
height
=
4
,
units
=
"in"
)
coloured_tsne
<-
readRDS
(
here
::
here
(
"figures"
,
"raw"
,
"raw-tsne.rds"
)
)
ggsave
(
filename
=
here
::
here
(
"figures"
,
"final"
,
"coloured-tsne.pdf"
),
plot
=
coloured_tsne
,
width
=
4
,
height
=
4
,
units
=
"in"
)
ms4a1_expression
<-
readRDS
(
here
::
here
(
"figures"
,
"raw"
,
"ms4a1-expression.rds"
)
)
ggsave
(
filename
=
here
::
here
(
"figures"
,
"final"
,
"ms4a1-expression.pdf"
),
plot
=
ms4a1_expression
,
width
=
4
,
height
=
4
,
units
=
"in"
)
# Method concordance + characteristics figure
concordance_dendorogram
<-
readRDS
(
here
::
here
(
"figures"
,
"raw"
,
"dendrogram.rds"
)
)
raw_info
<-
readRDS
(
here
::
here
(
"figures"
,
"raw"
,
"raw-info.rds"
)
)
+
theme
(
plot.margin
=
margin
(
-1
,
-1
,
1
,
-1
,
"cm"
))
strategy_info
<-
readRDS
(
here
::
here
(
"figures"
,
"raw"
,
"strategy-info.rds"
)
)
+
theme
(
plot.margin
=
margin
(
-1
,
-1
,
-1
,
-1
,
"cm"
))
package_info
<-
readRDS
(
here
::
here
(
"figures"
,
"raw"
,
"package-info.rds"
)
)
+
theme
(
plot.margin
=
margin
(
-1
,
-1
,
-1
,
-1
,
"cm"
))
overall_prop_up
<-
readRDS
(
here
::
here
(
"figures"
,
"raw"
,
"overall-prop-up.rds"
)
)
+
ggtitle
(
"Regulation direction across datasets"
)
all_n_zero_pvalues
<-
readRDS
(
here
::
here
(
"figures"
,
"raw"
,
"all_n_zero_pvalues.rds"
)
)
+
ggtitle
(
"Number of zero p-values across datasets"
)
full_dendrogram
<-
concordance_dendorogram
+
package_info
+
raw_info
+
strategy_info
+
plot_layout
(
nrow
=
1
,
widths
=
c
(
0.9
,
0.02
,
0.02
,
0.02
),
heights
=
c
(
4
,
1
,
1
,
1
),
guides
=
"collect"
)
full_dendrogram
concordance_figure
<-
full_dendrogram
/
(
overall_prop_up
+
all_n_zero_pvalues
)
+
plot_layout
(
heights
=
c
(
3
,
2
),
tag_level
=
"new"
)
+
plot_annotation
(
tag_levels
=
list
(
c
(
"a"
,
" "
,
" "
,
" "
,
"b"
,
"c"
)))
concordance_figure
ggsave
(
filename
=
here
::
here
(
"figures"
,
"final"
,
"concordance-figure.pdf"
),
plot
=
concordance_figure
,
width
=
16
,
height
=
16
,
units
=
"in"
)
# Computational performance + implementation quality figure
overall_time
<-
readRDS
(
here
::
here
(
"figures"
,
"raw"
,
"overall-time.rds"
))
overall_memory
<-
readRDS
(
here
::
here
(
"figures"
,
"raw"
,
"overall-memory.rds"
))
num_cells_time
<-
readRDS
(
here
::
here
(
"figures"
,
"raw"
,
"time-num-cells.rds"
))
+
theme
(
axis.title.y
=
element_text
(
margin
=
margin
(
r
=
-120
,
unit
=
"pt"
)))
implementation_quality
<-
readRDS
(
here
::
here
(
"figures"
,
"raw"
,
"implementation.rds"
))
# Warning is spurious
top
<-
overall_time
+
overall_memory
bottom
<-
num_cells_time
+
implementation_quality
+
plot_layout
(
widths
=
c
(
2
,
1
))
computational_performance_figure
<-
top
/
bottom
+
plot_annotation
(
tag_levels
=
"a"
)
computational_performance_figure
ggsave
(
filename
=
here
::
here
(
"figures"
,
"final"
,
"computational-performance-figure.pdf"
),
plot
=
computational_performance_figure
,
width
=
16
,
height
=
16
,
units
=
"in"
)
# Simulated performance figure
overall_recall
<-
readRDS
(
here
::
here
(
"figures"
,
"raw"
,
"overall-recall.rds"
)
)
+
ggtitle
(
"Recall"
)
overall_precision
<-
readRDS
(
here
::
here
(
"figures"
,
"raw"
,
"overall-precision.rds"
)
)
+
ggtitle
(
"Precision"
)
+
theme
(
axis.title.y
=
element_blank
())
overall_f1_score
<-
readRDS
(
here
::
here
(
"figures"
,
"raw"
,
"overall-f1-score.rds"
)
)
+
ggtitle
(
"F1 score"
)
+
theme
(
axis.title.y
=
element_blank
())
simulated_perf_figure
<-
overall_recall
+
overall_precision
+
overall_f1_score
+
plot_layout
(
guides
=
"collect"
)
+
plot_annotation
(
tag_levels
=
"a"
)
simulated_perf_figure
ggsave
(
filename
=
here
::
here
(
"figures"
,
"final"
,
"simulated-perf-figure.pdf"
),
plot
=
simulated_perf_figure
,
width
=
12
,
height
=
8
,
units
=
"in"
)
# Expert performance figure
expert_lawlor_heatmap
<-
readRDS
(
here
::
here
(
"figures"
,
"raw"
,
"expert-lawlor-heatmap.rds"
)
)
expert_pbmc3k_heatmap
<-
readRDS
(
here
::
here
(
"figures"
,
"raw"
,
"expert-pbmc3k-heatmap.rds"
)
)
expert_perf_figure
<-
expert_lawlor_heatmap
+
expert_pbmc3k_heatmap
+
plot_layout
(
ncol
=
2
)
+
plot_annotation
(
tag_levels
=
"a"
)
expert_perf_figure
ggsave
(
filename
=
here
::
here
(
"figures"
,
"final"
,
"expert-perf-figure.pdf"
),
plot
=
expert_perf_figure
,
width
=
16
,
height
=
10
,
units
=
"in"
)
# Predictive performance figure
zhao_pred_perf
<-
readRDS
(
here
::
here
(
"figures"
,
"raw"
,
"zhao-pred-perf.rds"
)
)
overall_multiclass_pred_plot
<-
readRDS
(
here
::
here
(
"figures"
,
"raw"
,
"overall-mc-pred-plot.rds"
)
)
pbmc3k_seurat_wilcox_confmat
<-
readRDS
(
here
::
here
(
"figures"
,
"raw"
,
"pbmc3k-seurat-wilcox-confmat.rds"
)
)
lhs
<-
(
zhao_pred_perf
/
pbmc3k_seurat_wilcox_confmat
)
+
plot_layout
(
ncol
=
1
,
heights
=
c
(
2
,
1
))
pred_perf_figure
<-
lhs
-
overall_multiclass_pred_plot
+
plot_layout
(
ncol
=
2
)
+
plot_annotation
(
tag_levels
=
"a"
)
pred_perf_figure
ggsave
(
filename
=
here
::
here
(
"figures"
,
"final"
,
"pred-perf-figure.pdf"
),
plot
=
pred_perf_figure
,
width
=
14
,
height
=
14
,
units
=
"in"
)
# Case studies figure
log_fc_plot
<-
readRDS
(
here
::
here
(
"figures"
,
"raw"
,
"log-fc-b-cluster-scatter.rds"
)
)
welch_issue_plot
<-
readRDS
(
here
::
here
(
"figures"
,
"raw"
,
"rr-scanpy-t-abs-seurat-t.rds"
)
)
logfc_abs_prop_intersect_plot
<-
readRDS
(
here
::
here
(
"figures"
,
"raw"
,
"logfc-abs-prop-intersect.rds"
)
)
scanpy_seurat_zeisel_oligodendrocytes_plot
<-
readRDS
(
here
::
here
(
"figures"
,
"raw"
,
"scanpy-seurat-zeisel-oligodendrocytes.rds"
)
)
case_studies_figure
<-
logfc_abs_prop_intersect_plot
+
scanpy_seurat_zeisel_oligodendrocytes_plot
+
log_fc_plot
+
welch_issue_plot
+
plot_layout
(
ncol
=
2
)
+
plot_annotation
(
tag_levels
=
"a"
)
&
theme
(
plot.tag
=
element_text
(
size
=
18
))
case_studies_figure
ggsave
(
filename
=
here
::
here
(
"figures"
,
"final"
,
"case-studies-figure.pdf"
),
plot
=
case_studies_figure
,
width
=
16
,
height
=
16
,
units
=
"in"
)
# Supplementary figures
# Additional expert heatmaps
expert_ss3_pbmc3_heatmap
<-
readRDS
(
here
::
here
(
"figures"
,
"raw"
,
"expert-ss3_pbmc-heatmap.rds"
)
)
+
theme
(
legend.position
=
"none"
)
expert_zeisel_heatmap
<-
readRDS
(
here
::
here
(
"figures"
,
"raw"
,
"expert-zeisel-heatmap.rds"
)
)
ss3_pbmc_zeisel_expert_heatmaps
<-
expert_ss3_pbmc3_heatmap
+
expert_zeisel_heatmap
+
plot_annotation
(
tag_levels
=
"a"
)
ggsave
(
here
::
here
(
"figures"
,
"final"
,
"ss3_pbmc-zeisel-expert-heatmaps.pdf"
),
ss3_pbmc_zeisel_expert_heatmaps
,
width
=
8
,
height
=
8
,
units
=
"in"
)
# Number of clusters simulations
time_num_clusters
<-
readRDS
(
here
::
here
(
"figures"
,
"raw"
,
"time-num-clusters.rds"
))
memory_num_clusters
<-
readRDS
(
here
::
here
(
"figures"
,
"raw"
,
"memory-num-clusters.rds"
))
num_cluster_sims
<-
time_num_clusters
+
memory_num_clusters
+
plot_annotation
(
tag_levels
=
"a"
)
ggsave
(
here
::
here
(
"figures"
,
"final"
,
"num-clusters-sims.pdf"
),
num_cluster_sims
,
width
=
20
,
height
=
12
,
units
=
"in"
)
# Zero expression consequences
all_logfc_scatter
<-
readRDS
(
here
::
here
(
"figures"
,
"raw"
,
"log-fc-scatter.rds"
)
)
+
ggtitle
(
"pbmc3k data"
)
volcano_plot
<-
readRDS
(
here
::
here
(
"figures"
,
"raw"
,
"volcano-plot.rds"
)
)
zero_expression
<-
all_logfc_scatter
+
volcano_plot
+
plot_annotation
(
tag_levels
=
"a"
)
zero_expression
ggsave
(
here
::
here
(
"figures"
,
"final"
,
"zero-expression.pdf"
),
zero_expression
,
width
=
12
,
height
=
8
,
units
=
"in"
)
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