- Added gene and pathway cross-omics analysis functions/modules.
- Added
app_run2()
function for custom app start with lightweight modules. - Fixed
pdf()
parameter for KM plot - Improved the UI of Custom TPC Modules.
- Removed a mistake by Yi Xiong for setting problematic threshold parameter in unicox analysis.
- Handled error raised due to internet issue in CRAN check.
- Optimized data preloading of Shiny application.
- Dockerfile updated.
- Fixed some minor bugs in Shiny app.
- Updated README about Docker usage.
- Fixed an issue in
vis_identifier_grp_comparison()
(#317).
See the UCSCXenaShiny v2 Book for a comprehensive guidance.
load_data("tcga_PW")
: ssGSEA scores of HALLMARK, KEGG, IOBR terms for TCGA samples.load_data("tcga_PW_meta")
: metadata annotation for HALLMARK, KEGG, IOBR terms.load_data("pcawg_TIL")
: PCAWG TIL data.load_data("pcawg_PW")
: ssGSEA scores of HALLMARK, KEGG, IOBR terms for PCAWG samples.- and more.
.opt_pancan
: Default setting for alternative TPC datasets.mol_quick_analysis()
: Quick molecule analysis and report generation based on TCGA dataset.query_tcga_group()
: Group TPC samples by build-in or custom phenotype and support filtering or merging operations.vis_dim_dist()
: Visualize the distribution difference of TCGA samples after dimensionality reduction analysis.vis_identifier_dim_dist()
: Visualize the distribution difference of samples after Molecule Identifier dimensionality reduction analysis.vis_toil_Mut()
: Visualize molecular profile difference between mutation and wild status of queried gene.vis_toil_Mut_cancer()
: Visualize molecular profile difference between mutation and wild status of queried gene in Single Cancer Type
-
Homepage
- Added slicker gallery to display page summary;
- Added report generation for TCGA pan-cancer exploration.
-
General Dataset Analysis
- Added one general dimensionality reduction analysis module.
-
Quick TPC Analysis
- Added one module for association analysis between molecule and pathway;
- Added one module for association analysis between molecule and mutation;
- Added one module for dimensionality reduction analysis.
-
Personalized Analysis
- Designed personalized TPC analysis pipelines for based on 3 methods and 3 modes.
-
Download
- Added two modules for exact subset of integrated TPC data and UCSCXena datasets.
- Supported getting more flexible methylation value.
UCSCXenaShiny::get_pancan_methylation_value(
"RCAN2",
rule_out = c("cg21115430", "cg19452802"),
aggr = "Q75"
)
-
Supported installing the package from r-universe (https://openbiox.r-universe.dev/UCSCXenaShiny).
-
Supported alternative molecular profiling datasets for quick and personalized TPC analysis.
- Merged data with unequal size in pan-cancer data query with a gene signature (#283), the fix also enhance the sample names match.
Test code:
vis_gene_tmb_cor("`ZFAT-AS1` + `SNORD116-1` + SPATA31D1", data_type = "methylation")
- Fixed check warning in pan-cancer radar plot.
- Fixed check issue due to internet access (#253).
- Added cancer type control for PCAWG survival analysis.
- Added TCGA batch id from MDA.
- Fixed issue to set mislabelled color in pcawg pan-cancer analysis (#247, Thanks to Tangjian Li).
- Fixed issue in querying gene signature in general analysis page (#244).
- Fixed issue "Radar plot “stemness” does not plot the “ACC” tumor type" (#242).
- Added option
include.Tumor.only
to control if include type - Set default theme if
flatly
not available. - Added example to generate radar plot, close #239
- Added description of extra datasets.
- Fixed survival KM plot output issue due to
ggsave()
failure in General Analysis page. (#230)
- Fixed the colnames being changed by
as.data.frame()
when querying a symbol with unvalid R name. (Related to #234) - Added more informative error for scatter plot in General Analysis tab. (#233)
- Reversed default color setting for groups in survival analysis to fit conventional color grouping (in Xena). (#232, thanks to feedback from Enrique)
- Supported known science palette and custom colors for survival analysis in Quick PanCan Analysis tab.
- Data check. (#225)
- Fixed survival KM plot output issue due to
ggsave()
failure. (#230)
- Fixed value query for gene signature with
purrr
lambda function. - Updated dataset doc.
- Uploaded zenodo link.
- Uploaded this tool to conda forge, the user can install it from conda now. For more details, please read the README file.
- Updated citation.
- Fixed the data loading bug due to function scope problem (#222).
- Supported uploading data files for analysis.
- Improved user experience.
- Added more contents in README.
- Corrected LICENSE (this package is built on the top of code with GPLv3 LICENCE).
- Added docker image for UCSCXenaShiny https://hub.docker.com/r/shixiangwang/ucscxenashiny.
- Added a package doc site link in usage navbar list.
- Fixed bug of PCAWG survival analysis (#209).
This the first stable and formal version of UCSCXenaShiny
. We have refactored
the whole R package and corresponding Shiny for service.
Enjoy yourself.