Extended graphical lasso for multiple interaction networks for high dimensional omics data

Extended graphical lasso for multiple interaction networks for high dimensional omics data

There has been a spate of interest in association networks in biological and medical research, for example, genetic interaction networks. In this paper, we propose a novel method, the extended joint hub graphical lasso (EDOHA), to estimate multiple related interaction networks for high dimensional o...

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Bibliographic Details
Main Authors: Jiang, H. (Author), Jiang, W. (Author), Xu, Y. (Author)
Format: Article
Language:English
Published: Public Library of Science 2021
Subjects:
algorithm
Algorithms
Article
biology
Computational Biology
Databases, Genetic
extended joint hub graphical lasso
gene regulatory network
Gene Regulatory Networks
genetic database
genetics
human
Humans
information processing
microbiome
Microbiota
microflora
nonhuman
omics
procedures
protein analysis
Protein Interaction Maps
proteomics
sensitivity and specificity
Severe acute respiratory syndrome coronavirus 2
simulation
statistical model
transcriptome
Transcriptome
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