Back to search

Article

<i>cellSight:</i> Characterizing dynamics of cells using single-cell RNA-sequencing

2025-05-22

Abstract excerpt

<h4>SUMMARY</h4> Single-cell analysis has transformed our understanding of cellular diversity, offering insights into complex biological systems. Yet, manual data processing in single-cell studies poses challenges, including inefficiency, human error, and limited scalability. To address these issues, we propose the automated workflow cellSight , which integrates high-throughput sequencing in a user-friendly plat...

Topics

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

Identifiers and source

Literature Corpus work
45ba8991-0172-5b57-a747-655a63d7c9d8
DOI
10.1101/2025.05.16.654572
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.
<i>cellSight:</i> Characterizing dynamics of cells using single-cell RNA-sequencingDOI 10.1101/2025.05.16.654572
Select a neighboring publication to make it the new centre.