Cargando…

hdWGCNA identifies co-expression networks in high-dimensional transcriptomics data

Biological systems are immensely complex, organized into a multi-scale hierarchy of functional units based on tightly regulated interactions between distinct molecules, cells, organs, and organisms. While experimental methods enable transcriptome-wide measurements across millions of cells, popular b...

Descripción completa

Detalles Bibliográficos
Autores principales:	Morabito, Samuel, Reese, Fairlie, Rahimzadeh, Negin, Miyoshi, Emily, Swarup, Vivek
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Elsevier 2023
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10326379/ https://www.ncbi.nlm.nih.gov/pubmed/37426759 http://dx.doi.org/10.1016/j.crmeth.2023.100498

Ejemplares similares

Single-cell dissection, hdWGCNA and deep learning reveal the role of oxidatively stressed plasma cells in ulcerative colitis: Oxidative stress in plasma cells and ulcerative colitis
por: Mo, Shaocong, et al.
Publicado: (2023)

Integrative genomics approach identifies conserved transcriptomic networks in Alzheimer’s disease
por: Morabito, Samuel, et al.
Publicado: (2020)

Spatial and single-nucleus transcriptomic analysis of genetic and sporadic forms of Alzheimer’s Disease
por: Miyoshi, Emily, et al.
Publicado: (2023)

PyWGCNA: a Python package for weighted gene co-expression network analysis
por: Rezaie, Narges, et al.
Publicado: (2023)

Protocol for single-nucleus ATAC sequencing and bioinformatic analysis in frozen human brain tissue
por: Shi, Zechuan, et al.
Publicado: (2022)

Rogue gene networks gone awry in Alzheimer's disease
por: Miyoshi, Emily, et al.
Publicado: (2021)

WGCNA Analysis of Salt-Responsive Core Transcriptome Identifies Novel Hub Genes in Rice
por: Zhu, Mingdong, et al.
Publicado: (2019)

Identifying osteosarcoma metastasis associated genes by weighted gene co-expression network analysis (WGCNA)
por: Tian, Honglai, et al.
Publicado: (2018)

Bioinformatics role of the WGCNA analysis and co-expression network identifies of prognostic marker in lung cancer
por: Chengcheng, Liang, et al.
Publicado: (2022)

WGCNA Identifies a Comprehensive and Dynamic Gene Co-Expression Network That Associates with Smut Resistance in Sugarcane
por: Wu, Qibin, et al.
Publicado: (2022)

WGCNA Identifies Translational and Proteasome-Ubiquitin Dysfunction in Rett Syndrome
por: Haase, Florencia, et al.
Publicado: (2021)

WGCNA and molecular docking identify hub genes for cardiac aging
por: Ping, Ping, et al.
Publicado: (2023)

WGCNA: an R package for weighted correlation network analysis
por: Langfelder, Peter, et al.
Publicado: (2008)

Swan: a library for the analysis and visualization of long-read transcriptomes
por: Reese, Fairlie, et al.
Publicado: (2020)

Transcriptome Sequencing and WGCNA Reveal Key Genes in Response to Leaf Blight in Poplar
por: Wang, Ruiqi, et al.
Publicado: (2023)

Construction of a ceRNA network of hub genes affecting immune infiltration in ovarian cancer identified by WGCNA
por: Su, Rongjia, et al.
Publicado: (2021)

Colon cancer recurrence-associated genes revealed by WGCNA co-expression network analysis
por: Zhai, Xiaofeng, et al.
Publicado: (2017)

Comparative transcriptome and WGCNA reveal key genes involved in lignocellulose degradation in Sarcomyxa edulis
por: Duan, Chao, et al.
Publicado: (2022)

Transcriptome and WGCNA reveal hub genes in sugarcane tiller seedlings in response to drought stress
por: Tang, Yuwei, et al.
Publicado: (2023)

Weighted Correlation Network Analysis (WGCNA) Applied to the Tomato Fruit Metabolome
por: DiLeo, Matthew V., et al.
Publicado: (2011)

Bladder cancer stage-associated hub genes revealed by WGCNA co-expression network analysis
por: Di, Yu, et al.
Publicado: (2019)

K-Module Algorithm: An Additional Step to Improve the Clustering Results of WGCNA Co-Expression Networks
por: Hou, Jie, et al.
Publicado: (2021)

Identifying potential biomarkers for non-obstructive azoospermia using WGCNA and machine learning algorithms
por: Tang, Qizhen, et al.
Publicado: (2023)

GWAS Combined with WGCNA of Transcriptome and Metabolome to Excavate Key Candidate Genes for Rice Anaerobic Germination
por: Li, Dandan, et al.
Publicado: (2023)

Oncogenic Network and Hub Genes for Natural Killer/T-Cell Lymphoma Utilizing WGCNA
por: Liu, Huijiao, et al.
Publicado: (2020)

Susceptibility Modules and Genes in Hypertrophic Cardiomyopathy by WGCNA and ceRNA Network Analysis
por: Sun, Yifan, et al.
Publicado: (2022)

Integrated WGCNA and PPI Network to Screen Hub Genes Signatures for Infantile Hemangioma
por: Xu, Miao, et al.
Publicado: (2021)

Identification of Unique Transcriptomic Signatures and Hub Genes Through RNA Sequencing and Integrated WGCNA and PPI Network Analysis in Nonerosive Reflux Disease
por: Zhao, Ye, et al.
Publicado: (2021)

An additional k-means clustering step improves the biological features of WGCNA gene co-expression networks
por: Botía, Juan A., et al.
Publicado: (2017)

GINS2 Functions as a Key Gene in Lung Adenocarcinoma by WGCNA Co-Expression Network Analysis
por: Tian, Wen, et al.
Publicado: (2020)

Gene expression data analysis using Hellinger correlation in weighted gene co-expression networks (WGCNA)
por: Zhang, Tianjiao, et al.
Publicado: (2022)

Hub Gene Mining and Co-Expression Network Construction of Low-Temperature Response in Maize of Seedling by WGCNA
por: Yu, Tao, et al.
Publicado: (2023)

Integrated analysis of WGCNA and machine learning identified diagnostic biomarkers in dilated cardiomyopathy with heart failure
por: Zhu, Yihao, et al.
Publicado: (2022)

AURKA, TOP2A and MELK are the key genes identified by WGCNA for the pathogenesis of lung adenocarcinoma
por: Xu, Yunqing, et al.
Publicado: (2023)

Identification of cancer stem cell characteristics in liver hepatocellular carcinoma by WGCNA analysis of transcriptome stemness index
por: Bai, Kun‐Hao, et al.
Publicado: (2020)

Time-course transcriptome and WGCNA analysis revealed the drought response mechanism of two sunflower inbred lines
por: Wu, Yang, et al.
Publicado: (2022)

Identification of unique transcriptomic signatures through integrated multispecies comparative analysis and WGCNA in bovine oocyte development
por: Zhang, Fa-Li, et al.
Publicado: (2023)

Integration of comparative transcriptomics and WGCNA characterizes the regulation of anthocyanin biosynthesis in mung bean (Vigna radiata L.)
por: Li, Chunxia, et al.
Publicado: (2023)

Cortical diurnal rhythms remain intact with microglial depletion
por: Barahona, Rocio A., et al.
Publicado: (2022)

Identification of the core genes in Randall’s plaque of kidney stone and immune infiltration with WGCNA network
por: Yu, Lingyun, et al.
Publicado: (2023)

Cannot write session to /tmp/vufind_sessions/sess_1a6hosr10tlimkbmtnh8nqooua