Last updated: 2019-04-18
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Knit directory: Harvard-RosenbrockLab/
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Rmd | 1be7385 | Yasin Kaymaz | 2019-03-04 | initial commit |
In each of these plots, colored dots represent individual cells. Analysis was done using only highly variable genes. Cell annotation are projected from original publication.
Three brain regions cells are taken from:
midbrain, MB; forebrain, FB; olfactory bulb, OB;
In the analysis, I excluded E15.5 cells as requested by CNSDR and done the rest of analysis with only P7 mice cells.
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sessionInfo()
R version 3.5.0 (2018-04-23)
Platform: x86_64-apple-darwin17.5.0 (64-bit)
Running under: macOS 10.14.4
Matrix products: default
BLAS: /System/Library/Frameworks/Accelerate.framework/Versions/A/Frameworks/vecLib.framework/Versions/A/libBLAS.dylib
LAPACK: /System/Library/Frameworks/Accelerate.framework/Versions/A/Frameworks/vecLib.framework/Versions/A/libLAPACK.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] forcats_0.4.0 stringr_1.4.0 purrr_0.3.2 readr_1.3.1
[5] tidyr_0.8.3 tibble_2.0.1 tidyverse_1.2.1 dplyr_0.8.0.1
[9] Seurat_2.3.4 Matrix_1.2-14 cowplot_0.9.4 here_0.1
[13] DT_0.5 plotly_4.8.0 ggplot2_3.1.0
loaded via a namespace (and not attached):
[1] readxl_1.3.1 snow_0.4-3 backports_1.1.4
[4] Hmisc_4.2-0 workflowr_1.2.0 plyr_1.8.4
[7] igraph_1.2.4 lazyeval_0.2.1 splines_3.5.0
[10] digest_0.6.18 foreach_1.4.4 htmltools_0.3.6
[13] lars_1.2 gdata_2.18.0 magrittr_1.5
[16] checkmate_1.9.1 cluster_2.0.7-1 mixtools_1.1.0
[19] ROCR_1.0-7 modelr_0.1.4 R.utils_2.8.0
[22] colorspace_1.4-0 rvest_0.3.2 haven_2.1.0
[25] crayon_1.3.4 jsonlite_1.6 survival_2.42-6
[28] zoo_1.8-4 iterators_1.0.10 ape_5.2
[31] glue_1.3.1 gtable_0.2.0 kernlab_0.9-27
[34] prabclus_2.2-7 DEoptimR_1.0-8 scales_1.0.0
[37] mvtnorm_1.0-10 bibtex_0.4.2 Rcpp_1.0.1
[40] metap_1.1 dtw_1.20-1 viridisLite_0.3.0
[43] htmlTable_1.13.1 reticulate_1.11.1 foreign_0.8-70
[46] bit_1.1-14 proxy_0.4-23 mclust_5.4.3
[49] SDMTools_1.1-221 Formula_1.2-3 stats4_3.5.0
[52] tsne_0.1-3 htmlwidgets_1.3 httr_1.4.0
[55] gplots_3.0.1.1 RColorBrewer_1.1-2 fpc_2.1-11.1
[58] acepack_1.4.1 modeltools_0.2-22 ica_1.0-2
[61] pkgconfig_2.0.2 R.methodsS3_1.7.1 flexmix_2.3-15
[64] nnet_7.3-12 labeling_0.3 tidyselect_0.2.5
[67] rlang_0.3.4 reshape2_1.4.3 munsell_0.5.0
[70] cellranger_1.1.0 tools_3.5.0 cli_1.1.0
[73] generics_0.0.2 broom_0.5.1 ggridges_0.5.1
[76] evaluate_0.10.1 yaml_2.2.0 npsurv_0.4-0
[79] knitr_1.20 bit64_0.9-7 fs_1.2.7
[82] fitdistrplus_1.0-14 robustbase_0.93-3 caTools_1.17.1.2
[85] RANN_2.6.1 pbapply_1.4-0 nlme_3.1-137
[88] whisker_0.3-2 R.oo_1.22.0 xml2_1.2.0
[91] hdf5r_1.0.1 compiler_3.5.0 rstudioapi_0.10
[94] png_0.1-7 lsei_1.2-0 stringi_1.2.4
[97] lattice_0.20-35 trimcluster_0.1-2.1 pillar_1.3.1
[100] Rdpack_0.10-1 lmtest_0.9-36 data.table_1.12.0
[103] bitops_1.0-6 irlba_2.3.3 gbRd_0.4-11
[106] R6_2.4.0 latticeExtra_0.6-28 KernSmooth_2.23-15
[109] gridExtra_2.3 codetools_0.2-15 MASS_7.3-50
[112] gtools_3.8.1 assertthat_0.2.1 rprojroot_1.3-2
[115] withr_2.1.2 diptest_0.75-7 parallel_3.5.0
[118] doSNOW_1.0.16 hms_0.4.2 grid_3.5.0
[121] rpart_4.1-13 class_7.3-14 rmarkdown_1.10
[124] segmented_0.5-3.0 Rtsne_0.15 git2r_0.25.2
[127] lubridate_1.7.4 base64enc_0.1-3