https://github.com/fertiglab/j1798_trial_paper
scripts for the J1798 trial paper
Science Score: 23.0%
This score indicates how likely this project is to be science-related based on various indicators:
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○CITATION.cff file
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✓codemeta.json file
Found codemeta.json file -
○.zenodo.json file
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○DOI references
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✓Academic publication links
Links to: ncbi.nlm.nih.gov, nature.com -
○Academic email domains
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (10.9%) to scientific vocabulary
Repository
scripts for the J1798 trial paper
Basic Info
- Host: GitHub
- Owner: FertigLab
- License: mit
- Language: HTML
- Default Branch: main
- Size: 10.9 MB
Statistics
- Stars: 0
- Watchers: 5
- Forks: 0
- Open Issues: 0
- Releases: 1
Metadata Files
README.md
Overview
This repository contains code to generate figures for the paper by M. Baretti et al. "Entinostat in combination with nivolumab in metastatic pancreatic ductal adenocarcinoma: a phase 2 clinical trial" published in Nature Communications: https://www.nature.com/articles/s41467-024-52528-7.
Input data
Most of the input data are available in the input_data folder. Restrictions apply to the availability of patient data and so the
table_patients.csv file is not publicly available. However, the patient data files which included limited deidentified clinical data associated with the manuscript will be available upon reasonable request to the corresponding authors and is accessible through dbGaP (accession number phs003615): https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs003615.v1.p1.
Rmarkdown
Rmarkdown files are stored in the Rmd folder. The main script is runRmd.r which installs all required packages and renders Rmd files to generate output tables in the output_data folder and html/docs reports in Rmd.
Output data
The output_data folder contains html/docs reports rendered from Rmarkdown files, as well as output tables with the analysis results.
System requirements
The code can be run on any computer with installed the R programming environment. Depending on your system, installation of all required packages can take up to an hour.
How to run
Open the R environment and run the following line:
source('runRmd.r')
The code was tested on Windows 10 Pro with 32.0 GB RAM and a 2.81 GHz processor. If all required packages are installed, the runtime of the script is about 10 minutes. The script was tested in R version 4.3.2 and the following packages:
```
R version 4.3.2 (2023-10-31 ucrt)
Platform: x86_64-w64-mingw32/x64 (64-bit)
Running under: Windows 10 x64 (build 19045)
Matrix products: default
locale:
[1] LCCOLLATE=EnglishUnited States.utf8
[2] LCCTYPE=EnglishUnited States.utf8
[3] LCMONETARY=EnglishUnited States.utf8
[4] LC_NUMERIC=C
[5] LCTIME=EnglishUnited States.utf8
time zone: America/New_York
tzcode source: internal
attached base packages:
[1] grid stats4 stats graphics grDevices utils datasets
[8] methods base
other attached packages:
[1] pheatmap1.0.12 scales1.3.0
[3] Matrix1.6-3 data.table1.14.8
[5] BiocManager1.30.22 survival3.5-7
[7] binom1.1-1.1 flextable0.9.4
[9] survminer0.4.9 msigdbr7.5.1
[11] fgsea1.26.0 EnhancedVolcano1.18.0
[13] ComplexHeatmap2.16.0 DESeq21.40.2
[15] SummarizedExperiment1.30.2 Biobase2.60.0
[17] MatrixGenerics1.12.3 matrixStats1.1.0
[19] GenomicRanges1.52.1 GenomeInfoDb1.36.4
[21] IRanges2.34.1 S4Vectors0.38.2
[23] BiocGenerics0.46.0 kableExtra1.3.4
[25] pals1.8 gridExtra2.3
[27] DT0.30 ggrepel0.9.4
[29] ggpubr0.6.0 ggplot23.4.4
[31] dplyr1.1.2 knitr1.45
loaded via a namespace (and not attached):
[1] splines4.3.2 later1.3.1 bitops_1.0-7
[4] tibble3.2.1 lifecycle1.0.4 rstatix_0.7.2
[7] mixsqp0.3-54 doParallel1.0.17 lattice_0.21-9
[10] crosstalk1.2.1 backports1.4.1 magrittr_2.0.3
[13] sass0.4.8 rmarkdown2.25 jquerylib_0.1.4
[16] yaml2.3.7 httpuv1.6.12 zip_2.3.0
[19] askpass1.2.0 cowplot1.1.2 mapproj_1.2.11
[22] RColorBrewer1.1-3 maps3.4.1.1 abind_1.4-5
[25] zlibbioc1.46.0 rvest1.0.3 purrr_1.0.2
[28] RCurl1.98-1.13 gdtools0.3.4 circlize_0.4.15
[31] GenomeInfoDbData1.2.10 KMsurv0.1-5 irlba_2.3.5.1
[34] crul1.4.0 svglite2.1.2 commonmark_1.9.0
[37] codetools0.2-19 DelayedArray0.26.7 ggtext_0.1.2
[40] xml21.3.5 tidyselect1.2.0 shape_1.4.6
[43] httpcode0.3.0 farver2.1.1 webshot_0.5.5
[46] jsonlite1.8.7 GetoptLong1.0.5 ellipsis_0.3.2
[49] iterators1.0.14 systemfonts1.0.5 foreach_1.5.2
[52] tools4.3.2 ragg1.2.6 snow_0.4-4
[55] Rcpp1.0.11 glue1.6.2 xfun_0.39
[58] withr2.5.2 fastmap1.1.1 fansi_1.0.4
[61] openssl2.1.1 digest0.6.33 truncnorm_1.0-9
[64] R62.5.1 mime0.12 textshaping_0.3.7
[67] colorspace2.1-0 dichromat2.0-0.1 markdown_1.12
[70] utf81.2.3 tidyr1.3.0 generics_0.1.3
[73] fontLiberation0.1.0 httr1.4.7 htmlwidgets_1.6.4
[76] S4Arrays1.0.6 pkgconfig2.0.3 gtable_0.3.4
[79] XVector0.40.0 survMisc0.5.6 htmltools_0.5.7
[82] fontBitstreamVera0.1.1 carData3.0-5 clue_0.3-65
[85] png0.1-8 ashr2.2-63 km.ci_0.5-6
[88] rstudioapi0.15.0 reshape21.4.4 rjson_0.2.21
[91] uuid1.1-1 curl5.1.0 zoo_1.8-12
[94] cachem1.0.8 GlobalOptions0.1.2 stringr_1.5.1
[97] parallel4.3.2 pillar1.9.0 vctrs_0.6.3
[100] promises1.2.1 car3.1-2 xtable_1.8-4
[103] cluster2.1.4 evaluate0.23 invgamma_1.1
[106] cli3.6.1 locfit1.5-9.8 compiler_4.3.2
[109] rlang1.1.1 crayon1.5.2 SQUAREM_2021.1
[112] ggsignif0.6.4 labeling0.4.3 plyr_1.8.9
[115] stringi1.8.1 viridisLite0.4.2 BiocParallel_1.34.2
[118] babelgene22.9 munsell0.5.0 fontquiver_0.2.1
[121] gfonts0.2.0 shiny1.8.0 highr_0.10
[124] gridtext0.1.5 broom1.0.5 bslib_0.6.1
[127] fastmatch1.1-4 officer0.6.3
````
Owner
- Name: FertigLab
- Login: FertigLab
- Kind: organization
- Email: ejfertig@jhmi.edu
- Repositories: 68
- Profile: https://github.com/FertigLab
Software projects in computational biology and bioinformatics in Elana Fertig's lab in Oncology Biostatistics and Bioinformatics at JHMI
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