Back to search

Article

A benchmarking study of copy number variation inference methods using single-cell RNA-sequencing data

2024-09-14

Abstract excerpt

Single-cell RNA-sequencing (scRNA-seq) has emerged as a powerful tool for cancer research, enabling in-depth characterization of tumor heterogeneity at the single-cell level. Recently, scRNA-seq copy number variation (scCNV) inference methods have been developed, expanding the application of scRNA-seq to study genetic heterogeneity in cancer using transcriptomic data. However, the fidelity of these methods has not...

Topics

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

Identifiers and source

Literature Corpus work
5ea3ae88-1a7f-5a20-8ca1-438d6778cb83
DOI
10.1101/2024.09.09.612120
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.
A benchmarking study of copy number variation inference methods using single-cell RNA-sequencing dataDOI 10.1101/2024.09.09.612120
Select a neighboring publication to make it the new centre.