BrainEnrich: Revealing Biological Insights from Imaging-Derived Features through Transcriptomic Enrichment π§ π§¬
BrainEnrich
is an R package designed to facilitate the correlation of imaging-derived phenotypes with transcriptional profiles. This toolbox aims to provide researchers and clinicians with robust statistical tools to uncover molecular architectures associated with cognitive functions, brain development, and disorders.
- Q4 2023: Initial conceptualization and development of core functions. π οΈ
- Q1 2024: Implementation of competitive null models and self-contained null models. π§ͺ
- Q1 2024: Testing with simulated datasets and refinement of statistical tests. π¬
- Q2 2024: Beta release for community feedback and additional testing. π
- Q3 2024: Incorporation of feedback and preparation for CRAN submission. βοΈ
- Q4 2024: Submission to CRAN and publication of accompanying paper. π°
Please note that brainEnrich
is currently in development and not yet available for installation.
Once available, it can be installed from GitHub via the devtools
package:
# Install remotes if you haven't already
if (!requireNamespace("remotes", quietly = TRUE)) {
install.packages("remotes")}
if (!requireNamespace("BiocManager", quietly = TRUE)) {
install.packages("BiocManager")
}
BiocManager::install("DOSE")
# Install brainEnrich from GitHub
remotes::install_github("zh1peng/BrainEnrich")
Instructions on how to use the toolbox will be provided here, including example code.
- Initialize the project 2023/11/04
- Finalize manuscript revision. π§
- Development of core functionsπ§
- Create detailed vignettes for each major function. π
- Optimize performance for large datasets. β‘
- Conduct extensive testing with real-world data. π
- Develop a comprehensive test suite. β
- Set up continuous integration for automated testing. π
- Prepare documentation for public release. π
We use git for versioning. For the versions available, see the tags on this repository.
- Zhipeng Cao @ Xuhui Mental Health Center, Shanghai - Initial work - zh1peng
This project is licensed under the GNU Affero General Public (AGP) License - see the LICENSE.md file for details.