cancervariants / cancervariants/therapy-normalization
Extraction of Indication data
- Dominant language
- Python
- Stars
- 15
- Forks
- 3
- PR merge metrics
- No merged PRs in 30d
Description
The drug bank data needs to be examined and solutions developed for the extraction of meaningful terms and data regarding indications to help with the AMP/ASCO Tiering evaluation.
Values:
_Cancer type_ (ex. Non-Small Cell Lung Cancer or Microsatellite Instability-High Cancer)
_Biomarker_, not all indications will have this (ex. Non-Small Cell Lung Cancer (NSCLC); in combination with [pemetrexed] and platinum-based chemotherapy as a first-line treatment for patients with metastatic nonsquamous NSCLC with **no EGFR or ALK mutations**)
_Combination drug_ (ex. "in combination with **carboplatin** and **paclitaxel** as a first-line treatment for patients with metastatic squamous NSCLC")
Contributor guide
No contributing guide indexed for this repository
Research direction
Examine the DrugBank data and the repository's existing extraction entry points, if available. Define how indication text maps to cancer type, optional biomarker, and combination drug for AMP/ASCO Tiering evaluation. Done means the extraction produces meaningful values for the examples described in the issue.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- bioinformatics, data
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100