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Published in 2024 at "Neuro-Oncology"
DOI: 10.1093/neuonc/noae165.0032
Abstract: Genome-wide coexpression analysis of bulk human brain samples is a powerful approach for identifying highly reproducible transcriptional signatures of cell types and cell states, since it can survey huge numbers of individuals, cells, and transcripts.…
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Keywords:
gene coexpression;
human brain;
coexpression networks;
gene ... See more keywords
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Published in 2024 at "Genome Research"
DOI: 10.1101/gr.279117.124
Abstract: Gene regulatory networks (GRNs) are effective tools for inferring complex interactions between molecules that regulate biological processes and hence can provide insights into drivers of biological systems. Inferring coexpression networks is a critical element of…
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Keywords:
specific coexpression;
sample specific;
gene;
coexpression networks ... See more keywords
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Published in 2022 at "Genome Biology"
DOI: 10.1186/s13059-021-02568-9
Abstract: Background Constructing gene coexpression networks is a powerful approach for analyzing high-throughput gene expression data towards module identification, gene function prediction, and disease-gene prioritization. While optimal workflows for constructing coexpression networks, including good choices for…
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Keywords:
coexpression networks;
rna seq;
coexpression;
transformation ... See more keywords
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Published in 2020 at "Genetics"
DOI: 10.1534/genetics.120.303186
Abstract: Whereas nonlinear relationships between genes are acknowledged, there exist only a few methods for estimating nonlinear gene coexpression networks or gene regulatory networks (GCNs/GRNs) with common deficiencies. These methods often consider only pairwise associations between…
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Keywords:
linear nonlinear;
gene coexpression;
semiparametric neighborhood;
nonlinear gene ... See more keywords