Cargando…

Comparing Statistical Tests for Differential Network Analysis of Gene Modules

Genes often work together to perform complex biological processes, and “networks” provide a versatile framework for representing the interactions between multiple genes. Differential network analysis (DiNA) quantifies how this network structure differs between two or more groups/phenotypes (e.g., di...

Descripción completa

Detalles Bibliográficos
Autores principales:	Arbet, Jaron, Zhuang, Yaxu, Litkowski, Elizabeth, Saba, Laura, Kechris, Katerina
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Frontiers Media S.A. 2021
Materias:	Genetics
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8170128/ https://www.ncbi.nlm.nih.gov/pubmed/34093641 http://dx.doi.org/10.3389/fgene.2021.630215

Ejemplares similares

Illustrating, Quantifying, and Correcting for Bias in Post-hoc Analysis of Gene-Based Rare Variant Tests of Association
por: Grinde, Kelsey E., et al.
Publicado: (2017)

1494. Clinical Factors Associated with a Positive C. difficile PCR Test
por: Cushman, Teresa, et al.
Publicado: (2019)

Identifying miRNA-mRNA Networks Associated With COPD Phenotypes
por: Zhuang, Yonghua, et al.
Publicado: (2021)

An Augmented High-Dimensional Graphical Lasso Method to Incorporate Prior Biological Knowledge for Global Network Learning
por: Zhuang, Yonghua, et al.
Publicado: (2022)

1489. Clinical Utility and Patterns of the use of the Gastrointestinal PCR Panel Over a 2-Year Period at a University Hospital
por: Cushman, Teresa, et al.
Publicado: (2019)

Network statistics of genetically-driven gene co-expression modules in mouse crosses
por: Scott-Boyer, Marie-Pier, et al.
Publicado: (2013)

tidyMicro: a pipeline for microbiome data analysis and visualization using the tidyverse in R
por: Carpenter, Charlie M., et al.
Publicado: (2021)

NetSHy: network summarization via a hybrid approach leveraging topological properties
por: Vu, Thao, et al.
Publicado: (2022)

Screening-testing approaches for gene-gene and gene-environment interactions using independent statistics
por: Millstein, Joshua
Publicado: (2013)

Resampling-based tests for Lasso in genome-wide association studies
por: Arbet, Jaron, et al.
Publicado: (2017)

Development of a tissue augmented Bayesian model for expression quantitative trait loci analysis
por: Zhuang, Yonghua, et al.
Publicado: (2019)

Statistical Inference and Reverse Engineering of Gene Regulatory Networks from Observational Expression Data
por: Emmert-Streib, Frank, et al.
Publicado: (2012)

Network, Transcriptomic and Genomic Features Differentiate Genes Relevant for Drug Response
por: Piñero, Janet, et al.
Publicado: (2018)

Condition-adaptive fused graphical lasso (CFGL): An adaptive procedure for inferring condition-specific gene co-expression network
por: Lyu, Yafei, et al.
Publicado: (2018)

Statistical methods for detecting differentially methylated loci and regions
por: Robinson, Mark D., et al.
Publicado: (2014)

Epigenetic modulation of brain gene networks for cocaine and alcohol abuse
por: Farris, Sean P., et al.
Publicado: (2015)

Six Degrees of Epistasis: Statistical Network Models for GWAS
por: McKinney, B. A., et al.
Publicado: (2012)

A statistical framework for testing the causal effects of fetal drive
por: Liu, Nianjun, et al.
Publicado: (2015)

Common Gene Modules Identified for Chicken Adiposity by Network Construction and Comparison
por: Gao, Zhuoran, et al.
Publicado: (2020)

Generating Ensembles of Gene Regulatory Networks to Assess Robustness of Disease Modules
por: Lim, James T., et al.
Publicado: (2021)

Inferring Differential Networks by Integrating Gene Expression Data With Additional Knowledge
por: Liu, Chen, et al.
Publicado: (2021)

Identification of HCC-Related Genes Based on Differential Partial Correlation Network
por: Gao, Yuyao, et al.
Publicado: (2021)

Applying differential network analysis to longitudinal gene expression in response to perturbations
por: Xue, Shuyue, et al.
Publicado: (2022)

Characterizing differential individual response to porcine reproductive and respiratory syndrome virus infection through statistical and functional analysis of gene expression
por: Arceo, Maria E., et al.
Publicado: (2013)

RCFGL: Rapid Condition adaptive Fused Graphical Lasso and application to modeling brain region co-expression networks
por: Seal, Souvik, et al.
Publicado: (2023)

Network Diffusion-Based Prioritization of Autism Risk Genes Identifies Significantly Connected Gene Modules
por: Mosca, Ettore, et al.
Publicado: (2017)

Untangling statistical and biological models to understand network inference: the need for a genomics network ontology
por: Emmert-Streib, Frank, et al.
Publicado: (2014)

Microbiome Multi-Omics Network Analysis: Statistical Considerations, Limitations, and Opportunities
por: Jiang, Duo, et al.
Publicado: (2019)

Propensity scores as a novel method to guide sample allocation and minimize batch effects during the design of high throughput experiments
por: Carry, Patrick M., et al.
Publicado: (2023)

Differential correlation for sequencing data
por: Siska, Charlotte, et al.
Publicado: (2017)

Comparative Analyses of Gene Co-expression Networks: Implementations and Applications in the Study of Evolution
por: Ovens, Katie, et al.
Publicado: (2021)

Co-expression Gene Network Analysis and Functional Module Identification in Bamboo Growth and Development
por: Ma, Xuelian, et al.
Publicado: (2018)

Stem Cell Ribonomics: RNA-Binding Proteins and Gene Networks in Stem Cell Differentiation
por: Shigunov, Patrícia, et al.
Publicado: (2015)

Effect of Normalization on Statistical and Biological Interpretation of Gene Expression Profiles
por: Qin, Shaopu, et al.
Publicado: (2013)

Functional characterization of drought-responsive modules and genes in Oryza sativa: a network-based approach
por: Sircar, Sanchari, et al.
Publicado: (2015)

dcVar: a method for identifying common variants that modulate differential correlation structures in gene expression data
por: Lareau, Caleb A., et al.
Publicado: (2015)

Differential Modulation of Mouse Heart Gene Expression by Infection With Two Trypanosoma cruzi Strains: A Transcriptome Analysis
por: de Castro, Tiago Bruno Rezende, et al.
Publicado: (2020)

Identification of Potential Candidate Genes From Co-Expression Module Analysis During Preadipocyte Differentiation in Landrace Pig
por: Zhao, Xitong, et al.
Publicado: (2022)

Identification of Hub Genes Associated With Development and Microenvironment of Hepatocellular Carcinoma by Weighted Gene Co-expression Network Analysis and Differential Gene Expression Analysis
por: Bai, Qingquan, et al.
Publicado: (2020)

Key Modules and Hub Genes Identified by Coexpression Network Analysis for Revealing Novel Biomarkers for Spina Bifida
por: Li, Zijian, et al.
Publicado: (2020)

Cannot write session to /tmp/vufind_sessions/sess_9iojjh2pqi635qauo3c70ik0lg