Synthetic dataset analysis

1 Low and high cell number simulated from a E17.5 neural cortex dataset (Drop-seq) and hippocampus P0 dataset (10X)

dodge= position_dodge(width = 0.7)
lambda =ggplot(lambda.tot.plot,aes(x=cells, y=log(lambda_est)-log(lambda_real), fill=group)) + 
  facet_grid(method ~ ., scales = "free")+ 
    ylim(-0.75,0.75)+
    geom_violin(color="black", position = dodge)+  
    facet_wrap(method ~ cells, scales = "free")+
    coord_flip()+
    scale_fill_manual(values =  mycolours)+
  xlab(TeX(" $log \\tilde{\\lambda} - log \\lambda $ "))+ geom_boxplot(width=0.2, outlier.colour=NA, position = dodge)+
  theme(axis.text.x = element_text(size = si, angle = 0, hjust = .5, vjust = .5, face = "plain", colour ="#3C5488FF" ),
        axis.text.y = element_text( size = si, angle = 0, hjust = 1, vjust = .0, face = "plain", colour ="#3C5488FF"),  
        axis.title.x = element_text( size = si, angle = 0, hjust = .5, vjust = 0, face = "plain", colour ="#3C5488FF"),
        axis.title.y = element_text( size = si, angle = 0, hjust = .5, vjust = .5, face = "plain", colour ="#3C5488FF"),
        legend.title = element_blank(),
       strip.background = element_rect(fill="#8491B44C"),
       strip.text.x = element_text(size = 12,colour = "#3C5488FF",face = "plain"),
        strip.text.y = element_text(size = 12,colour = "#3C5488FF",face = "plain"),
       axis.title.y.left = element_blank(),
       #legend.key.height = unit(5, "mm"),
        legend.text = element_text(color = "#3C5488FF",face ="italic" ),
       legend.position = "right")
lambda

Percentage of a < 0 :

sessionInfo()

R version 4.0.4 (2021-02-15)
Platform: x86_64-pc-linux-gnu (64-bit)
Running under: Ubuntu 18.04.5 LTS

Matrix products: default
BLAS:   /usr/lib/x86_64-linux-gnu/openblas/libblas.so.3
LAPACK: /usr/lib/x86_64-linux-gnu/libopenblasp-r0.2.20.so

locale:
 [1] LC_CTYPE=en_US.UTF-8       LC_NUMERIC=C               LC_TIME=en_US.UTF-8        LC_COLLATE=en_US.UTF-8    
 [5] LC_MONETARY=en_US.UTF-8    LC_MESSAGES=en_US.UTF-8    LC_PAPER=en_US.UTF-8       LC_NAME=C                 
 [9] LC_ADDRESS=C               LC_TELEPHONE=C             LC_MEASUREMENT=en_US.UTF-8 LC_IDENTIFICATION=C       

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

other attached packages:
[1] ggplot2_3.3.3      data.table_1.13.6  latex2exp_0.4.0    matrixStats_0.58.0 stringr_1.4.0     
[6] scales_1.1.1       COTAN_0.1.0       

loaded via a namespace (and not attached):
 [1] ggrepel_0.9.1        Rcpp_1.0.6           lattice_0.20-41      circlize_0.4.12      tidyr_1.1.2         
 [6] png_0.1-7            assertthat_0.2.1     digest_0.6.27        R6_2.5.0             stats4_4.0.4        
[11] evaluate_0.14        pillar_1.4.7         basilisk_1.2.1       GlobalOptions_0.1.2  rlang_0.4.10        
[16] jquerylib_0.1.3      R.oo_1.24.0          S4Vectors_0.28.1     R.utils_2.10.1       GetoptLong_1.0.5    
[21] Matrix_1.3-2         reticulate_1.18      rmarkdown_2.7        labeling_0.4.2       munsell_0.5.0       
[26] compiler_4.0.4       xfun_0.20            pkgconfig_2.0.3      BiocGenerics_0.36.0  shape_1.4.5         
[31] htmltools_0.5.1.1    tidyselect_1.1.0     tibble_3.0.6         IRanges_2.24.1       withr_2.4.1         
[36] crayon_1.4.0         dplyr_1.0.4          R.methodsS3_1.8.1    rappdirs_0.3.3       basilisk.utils_1.2.2
[41] grid_4.0.4           jsonlite_1.7.2       gtable_0.3.0         lifecycle_0.2.0      DBI_1.1.1           
[46] magrittr_2.0.1       stringi_1.5.3        farver_2.0.3         bslib_0.2.4          ellipsis_0.3.1      
[51] filelock_1.0.2       generics_0.1.0       vctrs_0.3.6          rjson_0.2.20         RColorBrewer_1.1-2  
[56] tools_4.0.4          Cairo_1.5-12.2       glue_1.4.2           purrr_0.3.4          parallel_4.0.4      
[61] yaml_2.2.1           clue_0.3-58          colorspace_2.0-0     cluster_2.1.1        ComplexHeatmap_2.6.2
[66] knitr_1.31           sass_0.3.1