Clustering of temporal gene expression data with mixtures of mixed effects models

Clustering of temporal gene expression data with mixtures of mixed effects models

While time-dependent processes are important to biological functions, methods to leverage temporal information from large data have remained computationally challenging. In temporal gene-expression data, clustering can be used to identify genes with shared function in complex processes. Algorithms...

Full description

Bibliographic Details
Main Author: Lu, Darlene
Other Authors: Demissie, Serkalem
Language:en_US
Published: 2019
Subjects:
Biostatistics
Clustering
EM algorithm
Gene expression
Mixture model
Model selection
Polynomial regression
Online Access:https://hdl.handle.net/2144/34905

Internet

https://hdl.handle.net/2144/34905

Similar Items