Back to search

Article

Comparison of different computational frameworks for metabolic modeling from single-cell transcriptomics data in glioblastoma

2026-03-03

Abstract excerpt

Metabolic reprogramming is a hallmark of glioblastoma, yet how distinct malignant and tumor microenvironment cell populations contribute to this metabolic heterogeneity remains poorly defined. Since direct single-cell metabolomics remains technically limited, transcriptomics-based computational inference offers a powerful alternative. Here we apply and systematically compare three complementary computational metho...

Topics

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

Identifiers and source

Literature Corpus work
96d70463-12f1-55b2-a767-3d5a378820b4
DOI
10.64898/2026.02.28.706749
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.
Comparison of different computational frameworks for metabolic modeling from single-cell transcriptomics data in glioblastomaDOI 10.64898/2026.02.28.706749
Select a neighboring publication to make it the new centre.