Utilizing sc-linker to integrate single-cell RNA sequencing and human genetics to identify cell types and driver genes associated with non-small cell lung cancer
Abstract Background Genome-wide association studies (GWAS) provide a powerful method for identifying the loci and genes that contribute to disease. However, in many cases, the specific cell types and states that confer disease risk through these genes remain unknown. Determining this relationship is...
Saved in:
Main Authors: | Yangfan Zhou, Liang Zhao, Meimei Cai, Doudou Luo, Yizhen Pang, Jianhao Chen, Qicong Luo, Qin Lin |
---|---|
Format: | Article |
Language: | English |
Published: |
BMC
2025-01-01
|
Series: | BMC Cancer |
Subjects: | |
Online Access: | https://doi.org/10.1186/s12885-025-13525-1 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
5-Fluorouracil-β-Cyclodextrin conjugates:Linker strategies to enhance the anticancer efficacy and reduce the side effects
by: Liangliang Hu, et al.
Published: (2025-03-01) -
scSMD: a deep learning method for accurate clustering of single cells based on auto-encoder
by: Xiaoxu Cui, et al.
Published: (2025-01-01) -
Directly Gel‐Thermal Processing of Linker‐Mixed Crystal‐Glass Composite Membranes for Sorption‐Preferential Gas Separation
by: Yihao Xiao, et al.
Published: (2025-02-01) -
A model-based factorization method for scRNA data unveils bifurcating transcriptional modules underlying cell fate determination
by: Jun Ren, et al.
Published: (2025-02-01) -
CCI: A Consensus Clustering-Based Imputation Method for Addressing Dropout Events in scRNA-Seq Data
by: Wanlin Juan, et al.
Published: (2025-01-01)