Last updated: 2025-02-20

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Knit directory: CX5461_Project/

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html 2e99243 sayanpaul01 2025-02-20 Build site.
Rmd 7f9dc02 sayanpaul01 2025-02-20 Added Overlap of GO Terms in DEGs and updated index

πŸ“Œ Load Required Libraries

library(ggVennDiagram)
library(ggplot2)
library(dplyr)

πŸ“Œ Read and Process GO Terms

# Load GO term data for different conditions
# Load GO term data for different conditions
CX_0.1_24_GO <- read.csv("data/CX_0.1_24 (Combined).csv")
CX_0.1_48_GO <- read.csv("data/CX_0.1_48 (Combined).csv")
CX_0.5_3_GO  <- read.csv("data/CX_0.5_3 (Combined).csv")
CX_0.5_24_GO <- read.csv("data/CX_0.5_24 (Combined).csv")
CX_0.5_48_GO <- read.csv("data/CX_0.5_48 (Combined).csv")

DOX_0.1_3_GO  <- read.csv("data/DOX_0.1_3 (Combined).csv")
DOX_0.1_24_GO <- read.csv("data/DOX_0.1_24 (Combined).csv")
DOX_0.1_48_GO <- read.csv("data/DOX_0.1_48 (Combined).csv")
DOX_0.5_3_GO  <- read.csv("data/DOX_0.5_3 (Combined).csv")
DOX_0.5_24_GO <- read.csv("data/DOX_0.5_24 (Combined).csv")
DOX_0.5_48_GO <- read.csv("data/DOX_0.5_48 (Combined).csv")

# Extract GO term IDs for each condition
DEG2_GO <- CX_0.1_24_GO$ID
DEG3_GO <- CX_0.1_48_GO$ID
DEG4_GO <- CX_0.5_3_GO$ID
DEG5_GO <- CX_0.5_24_GO$ID
DEG6_GO <- CX_0.5_48_GO$ID
DEG7_GO <- DOX_0.1_3_GO$ID
DEG8_GO <- DOX_0.1_24_GO$ID
DEG9_GO <- DOX_0.1_48_GO$ID
DEG10_GO <- DOX_0.5_3_GO$ID
DEG11_GO <- DOX_0.5_24_GO$ID
DEG12_GO <- DOX_0.5_48_GO$term_id

πŸ“Œ Overlap of GO Terms across the drugs

πŸ“Œ Overlap of GO Terms in CX-5461 vs VEH

CX_Datasets <- list(
  "CX_0.1_24" = DEG2_GO,
  "CX_0.1_48" = DEG3_GO,
  "CX_0.5_3" = DEG4_GO,
  "CX_0.5_24" = DEG5_GO,
  "CX_0.5_48" = DEG6_GO
)

ggVennDiagram(CX_Datasets, label = "count") +
  theme(
    plot.title = element_text(size = 16, face = "bold"),
    legend.title = element_text(size = 12, face = "bold"),
    legend.text = element_text(size = 10)
  ) +
  labs(title = "CX-5461 GO Term Overlap")

Version Author Date
2e99243 sayanpaul01 2025-02-20

πŸ“Œ Overlap of GO Terms in DOX vs VEH

DOX_Datasets <- list(
  "DOX_0.1_3" = DEG7_GO,
  "DOX_0.1_24" = DEG8_GO,
  "DOX_0.1_48" = DEG9_GO,
  "DOX_0.5_3" = DEG10_GO,
  "DOX_0.5_24" = DEG11_GO,
  "DOX_0.5_48" = DEG12_GO
)

ggVennDiagram(DOX_Datasets, label = "count") +
  theme(
    plot.title = element_text(size = 16, face = "bold"),
    legend.title = element_text(size = 12, face = "bold"),
    legend.text = element_text(size = 10)
  ) +
  labs(title = "DOX GO Term Overlap")

Version Author Date
2e99243 sayanpaul01 2025-02-20

πŸ“Œ Overlap of GO Terms across concentrations

πŸ“Œ 0.1 Β΅M Concentration

Concentration_0_1 <- list(
  "CX_0.1_24" = DEG2_GO,
  "CX_0.1_48" = DEG3_GO,
  "DOX_0.1_3" = DEG7_GO,
  "DOX_0.1_24" = DEG8_GO,
  "DOX_0.1_48" = DEG9_GO
)

ggVennDiagram(Concentration_0_1, label = "count") +
  theme(
    plot.title = element_text(size = 16, face = "bold"),
    legend.title = element_text(size = 12, face = "bold"),
    legend.text = element_text(size = 10)
  ) +
  labs(title = "0.1 Β΅M GO Term Overlap")

Version Author Date
2e99243 sayanpaul01 2025-02-20

πŸ“Œ 0.5 Β΅M Concentration

Concentration_0_5 <- list(
  "CX_0.5_3" = DEG4_GO,
  "CX_0.5_24" = DEG5_GO,
  "CX_0.5_48" = DEG6_GO,
  "DOX_0.5_3" = DEG10_GO,
  "DOX_0.5_24" = DEG11_GO,
  "DOX_0.5_48" = DEG12_GO
)

ggVennDiagram(Concentration_0_5, label = "count") +
  theme(
    plot.title = element_text(size = 16, face = "bold"),
    legend.title = element_text(size = 12, face = "bold"),
    legend.text = element_text(size = 10)
  ) +
  labs(title = "0.5 Β΅M GO Term Overlap")

Version Author Date
2e99243 sayanpaul01 2025-02-20

πŸ“Œ Overlap of GO Terms Across Timepoints

πŸ“Œ3 Hours

Timepoint_3hrs <- list(
  "CX_0.5_3" = DEG4_GO,
  "DOX_0.1_3" = DEG7_GO,
  "DOX_0.5_3" = DEG10_GO
)

ggVennDiagram(Timepoint_3hrs, label = "count") +
  theme(
    plot.title = element_text(size = 16, face = "bold"),
    legend.title = element_text(size = 12, face = "bold"),
    legend.text = element_text(size = 10)
  ) +
  labs(title = "3 Hours GO Term Overlap")

Version Author Date
2e99243 sayanpaul01 2025-02-20

πŸ“Œ24 Hours

Timepoint_24hrs <- list(
  "CX_0.1_24" = DEG2_GO,
  "CX_0.5_24" = DEG5_GO,
  "DOX_0.1_24" = DEG8_GO,
  "DOX_0.5_24" = DEG11_GO
)

ggVennDiagram(Timepoint_24hrs, label = "count") +
  theme(
    plot.title = element_text(size = 16, face = "bold"),
    legend.title = element_text(size = 12, face = "bold"),
    legend.text = element_text(size = 10)
  ) +
  labs(title = "24 Hours GO Term Overlap")

Version Author Date
2e99243 sayanpaul01 2025-02-20

πŸ“Œ48 Hours

Timepoint_48hrs <- list(
  "CX_0.1_48" = DEG3_GO,
  "CX_0.5_48" = DEG6_GO,
  "DOX_0.1_48" = DEG9_GO,
  "DOX_0.5_48" = DEG12_GO
)

ggVennDiagram(Timepoint_48hrs, label = "count") +
  theme(
    plot.title = element_text(size = 16, face = "bold"),
    legend.title = element_text(size = 12, face = "bold"),
    legend.text = element_text(size = 10)
  ) +
  labs(title = "48 Hours GO Term Overlap")

Version Author Date
2e99243 sayanpaul01 2025-02-20

sessionInfo()
R version 4.3.0 (2023-04-21 ucrt)
Platform: x86_64-w64-mingw32/x64 (64-bit)
Running under: Windows 11 x64 (build 22631)

Matrix products: default


locale:
[1] LC_COLLATE=English_United States.utf8 
[2] LC_CTYPE=English_United States.utf8   
[3] LC_MONETARY=English_United States.utf8
[4] LC_NUMERIC=C                          
[5] LC_TIME=English_United States.utf8    

time zone: America/Chicago
tzcode source: internal

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

other attached packages:
[1] dplyr_1.1.4         ggplot2_3.5.1       ggVennDiagram_1.5.2
[4] workflowr_1.7.1    

loaded via a namespace (and not attached):
 [1] gtable_0.3.6      jsonlite_1.8.9    compiler_4.3.0    promises_1.3.0   
 [5] tidyselect_1.2.1  Rcpp_1.0.12       stringr_1.5.1     git2r_0.35.0     
 [9] callr_3.7.6       later_1.3.2       jquerylib_0.1.4   scales_1.3.0     
[13] yaml_2.3.10       fastmap_1.1.1     R6_2.5.1          labeling_0.4.3   
[17] generics_0.1.3    knitr_1.49        tibble_3.2.1      munsell_0.5.1    
[21] rprojroot_2.0.4   bslib_0.8.0       pillar_1.10.1     rlang_1.1.3      
[25] cachem_1.0.8      stringi_1.8.3     httpuv_1.6.15     xfun_0.50        
[29] getPass_0.2-4     fs_1.6.3          sass_0.4.9        cli_3.6.1        
[33] withr_3.0.2       magrittr_2.0.3    ps_1.8.1          digest_0.6.34    
[37] grid_4.3.0        processx_3.8.5    rstudioapi_0.17.1 lifecycle_1.0.4  
[41] vctrs_0.6.5       evaluate_1.0.3    glue_1.7.0        farver_2.1.2     
[45] whisker_0.4.1     colorspace_2.1-0  rmarkdown_2.29    httr_1.4.7       
[49] tools_4.3.0       pkgconfig_2.0.3   htmltools_0.5.8.1