Welcome to the "Molecular EPISTOP" repository. In adherence to the principles of open science, we aim to maintain transparency and ensure the reproducibility of our research by sharing the code with fellow researchers.
The code in this repository was utilized to generate statistical analyses presented in the paper titled "Molecular EPISTOP, Comprehensive Multi-omic Analysis of Blood from Tuberous Sclerosis Complex Infants Age Birth to Two Years." authored by Kwiatkowski et al.
This repository is organized into different directories, each serving a distinct purpose. Brief descriptions of the directories are provided below:
/univariate_analysis: hosts principal analysis and data collected during the "EPISTOP" project./models: contains code designed to build and evaluate predictive models based upon omics data generated in EPISTOP.
Within the univariate_analysis/data/ directory, researchers and collaborators will find two essential data files:
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S1A-data-file (55 MB): This file contains the original datasets, prior to the application of any corrections. It comprises both the data and accompanying legends and annotation sheets.
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S1B-data-file (97 MB): This file encompasses the datasets post the application of various corrections, including VGB and age corrections, among others.
By providing these data files, we aim to maintain transparency regarding the modifications applied to the original dataset.
For any inquiries or additional information related to the "Molecular EPISTOP" repository, please contact:
- Name: Jagoda Glowacka-Walas
- Email: [email protected]
This repository is shared for academic and research purposes only. The users are requested to cite the corresponding paper and give appropriate credit to the original authors and contributors when utilizing or referencing the content of this repository.