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GWENA: gene co-expression networks analysis and extended modules characterization in a single Bioconductor package, BMC Bioinformatics

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Last updated 19 setembro 2024
GWENA: gene co-expression networks analysis and extended modules characterization in a single Bioconductor package, BMC Bioinformatics
GWENA: gene co-expression networks analysis and extended modules characterization in a single Bioconductor package, BMC Bioinformatics
Improved gene co-expression network quality through expression dataset down-sampling and network aggregation
GWENA: gene co-expression networks analysis and extended modules characterization in a single Bioconductor package, BMC Bioinformatics
Improved gene co-expression network quality through expression dataset down-sampling and network aggregation
GWENA: gene co-expression networks analysis and extended modules characterization in a single Bioconductor package, BMC Bioinformatics
Comparing significantly enriched biological process GO terms in the 382
GWENA: gene co-expression networks analysis and extended modules characterization in a single Bioconductor package, BMC Bioinformatics
PDF) GWENA: gene co-expression networks analysis and extended modules characterization in a single Bioconductor package
GWENA: gene co-expression networks analysis and extended modules characterization in a single Bioconductor package, BMC Bioinformatics
Interaction between phenylpropane metabolism and oil accumulation in the developing seed of Brassica napus revealed by high temporal-resolution transcriptomes, BMC Biology
GWENA: gene co-expression networks analysis and extended modules characterization in a single Bioconductor package, BMC Bioinformatics
Multiscale Embedded Gene Co-expression Network Analysis
GWENA: gene co-expression networks analysis and extended modules characterization in a single Bioconductor package, BMC Bioinformatics
Bayesian Optimized sample-specific Networks Obtained By Omics data (BONOBO)
GWENA: gene co-expression networks analysis and extended modules characterization in a single Bioconductor package, BMC Bioinformatics
Frontiers Construction of Gene Modules and Analysis of Prognostic Biomarkers for Cervical Cancer by Weighted Gene Co-Expression Network Analysis
GWENA: gene co-expression networks analysis and extended modules characterization in a single Bioconductor package, BMC Bioinformatics
Functional analysis of module 4. (A) Significantly over-represented GO
GWENA: gene co-expression networks analysis and extended modules characterization in a single Bioconductor package, BMC Bioinformatics
Unsupervised Machine Learning Identifies Chromatin Accessibility Regulatory Networks that Define Cell State Transitions in Pluripotency
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