cancervariants / cancervariants/therapy-normalization

Extraction of Indication data

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#270 1 comment 0 reactions 0 assignees View on GitHub
DrugBank
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

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