Improving reproducibility of differentially expressed genes in single-cell transcriptomic studies of neurodegenerative diseases through meta-analysis
Abstract False positive claims of differentially expressed genes (DEGs) in scRNA-seq studies are of substantial concern. We found that DEGs from individual Parkinson’s (PD), Huntington’s (HD), and COVID-19 datasets had moderate predictive power for case-control status of other datasets, but DEGs fro...
Saved in:
| Main Authors: | Nathan Nakatsuka, Drew Adler, Longda Jiang, Austin Hartman, Evan Cheng, Eric Klann, Rahul Satija |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-08-01
|
| Series: | Nature Communications |
| Online Access: | https://doi.org/10.1038/s41467-025-62579-z |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Identifying reproducible transcription regulator coexpression patterns with single cell transcriptomics.
by: Alexander Morin, et al.
Published: (2025-04-01) -
Phospho-seq: integrated, multi-modal profiling of intracellular protein dynamics in single cells
by: John D. Blair, et al.
Published: (2025-02-01) -
AI-optimized electrochemical aptasensors for stable, reproducible detection of neurodegenerative diseases, cancer, and coronavirus
by: Amira Elsir Tayfour Ahmed, et al.
Published: (2025-01-01) -
A Simple Question of Reproducibility
by: Nathan S. Blow
Published: (2014-01-01) -
Differential gene expression patterns in Niemann-Pick Type C and Tay-Sachs diseases: Implications for neurodegenerative mechanisms.
by: Ramin Yousefpour Shahrivar, et al.
Published: (2025-01-01)