Back to search

Article

Integrative machine learning algorithms for developing a consensus RNA modification-based signature for guiding clinical decision-making in bladder cancer

2023-11-10

Abstract excerpt

Abstract Objectives Dysregulation of RNA modifications has emerged as a contributor to cancer, but the clinical implication of RNA modification-related genes remains largely unclear. The study focused on well-studied RNA modification modalities (m6A, m1A, m5C and m7G) in bladder cancer, and proposed a machine learning-based integrative approach for establishing a consensus RNA modification-based signature. Methods...

Topics

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

Identifiers and source

Literature Corpus work
5fcd8f7c-a9a2-51da-8afe-4dc311e43c49
DOI
10.1515/oncologie-2023-0348
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.
Integrative machine learning algorithms for developing a consensus RNA modification-based signature for guiding clinical decision-making in bladder cancerDOI 10.1515/oncologie-2023-0348
Select a neighboring publication to make it the new centre.