wgcna
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PyWGCNA is a Python package designed to do Weighted Gene Correlation Network analysis (WGCNA)
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Feb 17, 2025 - Jupyter Notebook
Hierarchical, iterative clustering for analysis of transcriptomics data in R
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May 31, 2024 - HTML
Uncovering Amiloride's Mechanisms of Action in Multiple Myeloma: A Bioinformatics Approach
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Jan 31, 2025 - Jupyter Notebook
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Sep 12, 2021 - R
An R package for weighted region comethylation network analysis
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Oct 14, 2023 - R
This repository contains a Script for WGCNA based on the Tutorial of WGCNA page
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Oct 5, 2021 - HTML
GWAS of Postmortem Brain Samples Sheds Light on the Development of Schizophrenia and Bipolar Disorder
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Sep 4, 2021 - HTML
Code for Walker, Saunders, Rai et al., (2021).
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Feb 2, 2022 - Roff
Repository for all R scripts and results associated with my research dissertation for the MSc Bioinformatics and Computational Biology degree in University College Cork, 2022.
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Oct 3, 2022 - R
Algorithms for NCBI, SRA, EBI datasets recommendation and how to get around with comparing your own Datasets. Recommender systems | Bio-NLP
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Dec 26, 2019 - Jupyter Notebook
Construction of Gene Expression Network across 3 brain regions in the presence of Ethanol using WGCNA in R
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Mar 20, 2017 - R
Weighted Gene Co-expression Network Analysis;
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Aug 14, 2024 - R
Differential Expression Analysis of protein, Gene set enrichment analysis, Multi-omic factor analysis, Pathway analysis, WGCNA
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Jul 29, 2024 - Jupyter Notebook
The Summer_WGCNA_Discussion repository contains scripts that can perform weighted gene correlation network analysis (WGCNA).
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Jul 5, 2021 - R
Wrapper R scripts for performing a weighted-gene co-expression network analysis (WGCNA)
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Jul 26, 2015 - R
Gene expression and network analysis for multiple RNA-seq datasets associated with heat-stress in abalone
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Jun 3, 2024
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