Applying causal discovery to single-cell analyses using CausalCell

Applying causal discovery to single-cell analyses using CausalCell

Correlation between objects is prone to occur coincidentally, and exploring correlation or association in most situations does not answer scientific questions rich in causality. Causal discovery (also called causal inference) infers causal interactions between objects from observational data. Report...

Full description

Bibliographic Details
Main Authors: Yujian Wen, Jielong Huang, Shuhui Guo, Yehezqel Elyahu, Alon Monsonego, Hai Zhang, Yanqing Ding, Hao Zhu
Format: Article
Language:English
Published: eLife Sciences Publications Ltd 2023-05-01
Series:eLife
Subjects:
causal analysis
causal relationship
feature selection
network inference
scRNA-seq
single-cell analysis
Online Access:https://elifesciences.org/articles/81464

Internet

https://elifesciences.org/articles/81464

Similar Items