https://github.com/jep9731/professional-mining-directories

This repository will contain R code used to datamine through directories and subdirectories to find specific files and copy them into another location
https://github.com/jep9731/professional-mining-directories

clinical-data clinical-research professional r

Last synced: 3 months ago
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This repository will contain R code used to datamine through directories and subdirectories to find specific files and copy them into another location

• Host: GitHub
• URL: https://github.com/jep9731/professional-mining-directories
• Owner: jep9731
• Created: 2025-06-11T03:01:29.000Z (4 months ago)
• Default Branch: main
• Last Pushed: 2025-06-14T03:08:11.000Z (4 months ago)
• Last Synced: 2025-06-14T04:20:30.837Z (4 months ago)
• Topics: clinical-data, clinical-research, professional, r
• Language: R
• Homepage:
• Size: 7.81 KB
• Stars: 1
• Watchers: 0
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

README

          
# ⛏️ Mining Directories: Tau PET Static Imaging Pipeline

This repository contains a script to extract and process static tau PET scan records from structured imaging data. It is part of the Imaging Core’s internal pipeline for validating longitudinal PET imaging directories.

---

## 📜 Script Summary

### 📂 `tPET_static.R`

This script performs:

- Static scan extraction from multi-source directories

- Directory name harmonization and tracer/phase validation

- Summary statistics by scan type and participant

---

## 📁 Required Data Files (Internal Access Only)

> 🔒 These files reside in a **shared lab directory** accessible only to approved Imaging Core personnel. Place them in a local `data/` folder when running this script.

| Filename                                                                 | Description                                      |

|--------------------------------------------------------------------------|--------------------------------------------------|

| `ImagingCoreDatabase-Stub_DATA_2025-06-04_1233.csv`                      | Participant Demographic information                |

| `ImagingCoreDatabase-ICTauPETReads_DATA_2025-06-04_1233.csv`            | Clinical read summaries for tau PET              |

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## ▶️ How to Run

1. Open `tPET_static.R` in **RStudio**.

2. Install required R packages (if not already):

   ```r

   install.packages(c("dplyr", "stringr", "readr"))