Exploring the influence of pre-analytical variables on gene expression measurements and relative expression orderings in cancer research
Abstract Gene expression profiling is an effective method for identifying predictive and prognostic biomarkers. However, measurements are prone to uncertainty and errors due to various pre-analytical variables. Systematic evaluating effects of these variables on gene expression measurements and rela...
Saved in:
Main Authors: | Tian Tian, Guie Lai, Ming He, Xiaofang Liu, Yun Luo, You Guo, Guini Hong, Hongdong Li, Kai Song, Hao Cai |
---|---|
Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2025-02-01
|
Series: | Scientific Reports |
Subjects: | |
Online Access: | https://doi.org/10.1038/s41598-025-88756-0 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Expression of cell-wall related genes is highly variable and correlates with sepal morphology
by: Hartasánchez, Diego A., et al.
Published: (2023-09-01) -
High order expression dependencies finely resolve cryptic states and subtypes in single cell data
by: Abel Jansma, et al.
Published: (2025-01-01) -
ANALYSIS OF STUDENTS’ UNDERSTANDING OF IDIOMATIC EXPRESSIONS AND ITS USE IN THEIR ESSAY: A CASE STUDY
by: Dalilah Fathma, et al.
Published: (2020-02-01) -
Expression of CSTF2 in oral squamous cell carcinoma and its relationship with immune infiltration and poor prognosis
by: Zumulaiti Aierken, et al.
Published: (2025-02-01) -
Protocol for direct cDNA cap analysis of gene expression for paired-end patterned flow cell sequencing
by: Diane Delobel, et al.
Published: (2025-03-01)