Validating Subtype Specific Oncology Drug Predictions
preprint
OA: closed
Abstract
There is an impressive number of data and code reproducibility initiatives, both within Europe and across the world. To motivate researchers to use this amazing infrastructure, we must show the translational research community that the aforementioned initiatives are able to drive change in translational science. Here we demonstrate that using public datasets, it is reasonable to build a pipeline for proposal and validation of driver mutation and subtype-specific colorectal cancer medications. While all three molecular, clinical and chemical name harmonization were necessary, open data and code initiatives, while varied in their approaches, made this project possible.
My notes (saved in your browser only)
Citation neighborhood (no data yet)
We don't have any in-corpus citations linked to this paper yet. The paper's references may be in our DB but unresolved to ``paper_id`` (resolution happens at ingest when the cited DOI matches a row we already have). Run the cross-source citation reconcile pass to retry.
Source provenance
- europepmc
- last seen: 2026-05-19T01:45:01.086888+00:00