Cargando…
A nonlinear correlation measure with applications to gene expression data
Nonlinear correlation exists in many types of biomedical data. Several types of pairwise gene expression in humans and other organisms show nonlinear correlation across time, e.g., genes involved in human T helper (Th17) cells differentiation, which motivated this study. The proposed procedure, call...
Autores principales: | Tripathi, Yogesh M., Chatla, Suneel Babu, Chang, Yuan-Chin I., Huang, Li-Shan, Shieh, Grace S. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9212159/ https://www.ncbi.nlm.nih.gov/pubmed/35727808 http://dx.doi.org/10.1371/journal.pone.0270270 |
Ejemplares similares
-
Inferring Nonlinear Gene Regulatory Networks from Gene Expression Data Based on Distance Correlation
por: Guo, Xiaobo, et al.
Publicado: (2014) -
Generalized linear and nonlinear models for correlated data: theory and applications using SAS
por: Vonesh, Edward F
Publicado: (2012) -
Inferring genetic interactions via a nonlinear model and an optimization algorithm
por: Chen, Chung-Ming, et al.
Publicado: (2010) -
Non-Markovianity: initial correlations and nonlinear optical measurements
por: Dijkstra, Arend G., et al.
Publicado: (2012) -
Nonlinear Network Reconstruction from Gene Expression Data Using Marginal Dependencies Measured by DCOL
por: Liu, Haodong, et al.
Publicado: (2016)