Juxtapose: a gene-embedding approach for comparing co-expression networks

Juxtapose: a gene-embedding approach for comparing co-expression networks

Background: Gene co-expression networks (GCNs) are not easily comparable due to their complex structure. In this paper, we propose a tool, Juxtapose, together with similarity measures that can be utilized for comparative transcriptomics between a set of organisms. While we focus on its application t...

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Bibliographic Details
Main Authors: Eames, B.F (Author), Maleki, F. (Author), McQuillan, I. (Author), Ovens, K. (Author)
Format: Article
Language:English
Published: BioMed Central Ltd 2021
Subjects:
algorithm
Algorithms
article
Biological evaluation
Biological information
Biological parameter
biology
Co-expression networks
Computational Biology
embedding
Embedding
Embedding strategies
Embeddings
Evolution
Gene co-expression networks
gene expression
Gene expression
gene regulatory network
Gene Regulatory Networks
Gene set enrichment analysis
machine learning
Machine learning
natural language processing
NAtural language processing
Natural language processing systems
orthology
Petroleum reservoir evaluation
post hoc analysis
prefrontal cortex
RNA sequencing
software
Software
Topological similarity
transcriptomics
Transcriptomics
Word2vec
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