Back to search

Article

megaMine: a scalable, rule-based framework for mining gene-cancer-drug evidence from biomedical literature

2026-08-12

Abstract excerpt

The rapid expansion of the oncology literature has outpaced manual curation of clinically relevant gene-cancer-drug associations and oncogenic driver evidence. Existing automated approaches often lack transparency or are difficult to scale across heterogeneous data sources. To address this gap, we developed megaMine, a transparent, rule-based, and context-aware literature-mining framework that integrates therapeut...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
5407af61-c8cd-5aae-a839-ea5af5438713
DOI
10.64898/2026.08.06.743392
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
megaMine: a scalable, rule-based framework for mining gene-cancer-drug evidence from biomedical literatureDOI 10.64898/2026.08.06.743392
Select a neighboring publication to make it the new centre.