Back to search

Article

Integrating trajectory inference and gene regulatory network analysis to resolve transcriptional programs of T cell state transitions in the tumor microenvironment

2026-05-14

Abstract excerpt

Reconstructing dynamic immune cell state transitions from single-cell transcriptomic data requires coordinated analytical strategies that capture both phenotypic progression and underlying regulatory programs. This protocol describes a step-by-step computational workflow for analyzing human tumor-infiltrating T cells using the sequential application of dimensionality reduction, pseudotime trajectory inference, reg...

Topics

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

Identifiers and source

Literature Corpus work
162bd6e8-cc98-59c3-9b5f-6e9d2ed05b4e
DOI
10.64898/2026.05.12.724558
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.
Integrating trajectory inference and gene regulatory network analysis to resolve transcriptional programs of T cell state transitions in the tumor microenvironmentDOI 10.64898/2026.05.12.724558
Select a neighboring publication to make it the new centre.