Back to search

Article

Improved prediction of the response duration to MAPK inhibitors in patients with advanced melanoma using baseline genomic data and machine learning algorithms

2023-12-09

Abstract excerpt

<h4>Purpose</h4> Baseline genomic data have not demonstrated significant value for predicting the response to MAPK inhibitors (MAPKi) in patients with BRAF V600 -mutated melanoma. We used machine learning algorithms and pre-processed genomic data to test whether they could contain useful information to improve the progression-free survival (PFS) prediction. <h4>Experimental design</h4> This exploratory analysis co...

Topics

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

Identifiers and source

Literature Corpus work
6574b68e-29fa-526f-a5c4-02ee8592b826
DOI
10.1101/2023.12.07.23299389
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.
Improved prediction of the response duration to MAPK inhibitors in patients with advanced melanoma using baseline genomic data and machine learning algorithmsDOI 10.1101/2023.12.07.23299389
Select a neighboring publication to make it the new centre.