Transcriptome size matters for single-cell RNA-seq normalization and bulk deconvolution
Abstract The variation of transcriptome size across cell types significantly impacts single-cell RNA sequencing (scRNA-seq) data normalization and bulk RNA-seq cellular deconvolution, yet this intrinsic feature is often overlooked. Here we introduce ReDeconv, a computational algorithm that incorpora...
Saved in:
Main Authors: | Songjian Lu, Jiyuan Yang, Lei Yan, Jingjing Liu, Judy Jiaru Wang, Rhea Jain, Jiyang Yu |
---|---|
Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2025-02-01
|
Series: | Nature Communications |
Online Access: | https://doi.org/10.1038/s41467-025-56623-1 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Integrating single-cell RNA-Seq and bulk RNA-Seq data to explore the key role of fatty acid metabolism in hepatocellular carcinoma
by: Hua Dai, et al.
Published: (2025-01-01) -
Predicting Outcomes in Esophageal Squamous Cell Carcinoma Using scRNA‐Seq and Bulk RNA‐Seq: A Model Development and Validation Study
by: Jiaqi Zhang, et al.
Published: (2025-01-01) -
BuDDI: Bulk Deconvolution with Domain Invariance to predict cell-type-specific perturbations from bulk.
by: Natalie R Davidson, et al.
Published: (2025-01-01) -
RNA-Seq Assembly and Differential Transcriptome Analysis of Korean Medicinal Herb var.
by: Neha Samir Roy, et al.
Published: (2018-12-01) -
Transcriptome Analysis of the Thymus in Short-Term Calorie-Restricted Mice Using RNA-seq
by: Zehra Omeroğlu Ulu, et al.
Published: (2018-01-01)