Cargando…

Quantifying differential gene connectivity between disease states for objective identification of disease-relevant genes

BACKGROUND: Network modeling of whole transcriptome expression data enables characterization of complex epistatic (gene-gene) interactions that underlie cellular functions. Though numerous methods have been proposed and successfully implemented to develop these networks, there are no formal methods...

Descripción completa

Detalles Bibliográficos
Autores principales:	Chu, Jen-hwa, Lazarus, Ross, Carey, Vincent J, Raby, Benjamin A
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	BioMed Central 2011
Materias:	Methodology Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3128864/ https://www.ncbi.nlm.nih.gov/pubmed/21627793 http://dx.doi.org/10.1186/1752-0509-5-89

Ejemplares similares

A graphical model approach for inferring large-scale networks integrating gene expression and genetic polymorphism
por: Chu, Jen-hwa, et al.
Publicado: (2009)

Analyzing networks of phenotypes in complex diseases: methodology and applications in COPD
por: Chu, Jen-hwa, et al.
Publicado: (2014)

In Silico Prediction for Regulation of Transcription Factors onTheir Shared Target Genes Indicates Relevant Clinical Implications in a Breast Cancer Population
por: Liu, Li-Yu D, et al.
Publicado: (2012)

An integrative methodology based on protein-protein interaction networks for identification and functional annotation of disease-relevant genes applied to channelopathies
por: Marín, Milagros, et al.
Publicado: (2019)

An introduction to overviews of reviews: planning a relevant research question and objective for an overview
por: Hunt, Harriet, et al.
Publicado: (2018)

Copy number variation genotyping using family information
por: Chu, Jen-hwa, et al.
Publicado: (2013)

A novel joint analysis framework improves identification of differentially expressed genes in cross disease transcriptomic analysis
por: Qin, Wenyi, et al.
Publicado: (2018)

GeneSurrounder: network-based identification of disease genes in expression data
por: Shah, Sahil D., et al.
Publicado: (2019)

A comparison and evaluation of five biclustering algorithms by quantifying goodness of biclusters for gene expression data
por: Li, Li, et al.
Publicado: (2012)

SPARC: a new approach to quantifying gait smoothness in patients with Parkinson’s disease
por: Beck, Yoav, et al.
Publicado: (2018)

A statistical network pre-processing method to improve relevance and significance of gene lists in microarray gene expression studies
por: Agapito, Giuseppe, et al.
Publicado: (2022)

A consensus multi-view multi-objective gene selection approach for improved sample classification
por: Acharya, Sudipta, et al.
Publicado: (2020)

Identification and prioritization of candidate genes for symptom variability in breast cancer survivors based on disease characteristics at the cellular level
por: Koleck, Theresa A, et al.
Publicado: (2016)

Statistical evaluation of methods for quantifying gene expression by autoradiography in histological sections
por: Lazic, Stanley E
Publicado: (2009)

A multi-objective gene clustering algorithm guided by apriori biological knowledge with intensification and diversification strategies
por: Parraga-Alava, Jorge, et al.
Publicado: (2018)

Unravelling personalized dysfunctional gene network of complex diseases based on differential network model
por: Yu, Xiangtian, et al.
Publicado: (2015)

Simple statistical identification and removal of contaminant sequences in marker-gene and metagenomics data
por: Davis, Nicole M., et al.
Publicado: (2018)

Development of a molecular method for the rapid screening and identification of the three functionally relevant polymorphisms in the human TAS2R38 receptor gene in studies of sensitivity to the bitter taste of PROP
por: Orrù, Roberto, et al.
Publicado: (2015)

MiningABs: mining associated biomarkers across multi-connected gene expression datasets
por: Cheng, Chun-Pei, et al.
Publicado: (2014)

Identification of differentially expressed genes by means of outlier detection
por: Irigoien, Itziar, et al.
Publicado: (2018)

Gene-Interaction-Sensitive enrichment analysis in congenital heart disease
por: Woodward, Alexa A., et al.
Publicado: (2022)

Identification of an attenuated barley stripe mosaic virus for the virus-induced gene silencing of pathogenesis-related wheat genes
por: Buhrow, Leann M., et al.
Publicado: (2016)

Novel methods to identify biologically relevant genes for leukemia and prostate cancer from gene expression profiles
por: Chen, Austin H, et al.
Publicado: (2010)

Aging-relevant human basal forebrain cholinergic neurons as a cell model for Alzheimer’s disease
por: Ma, Shuaipeng, et al.
Publicado: (2020)

Exploring the effects of deep brain stimulation and vision on tremor in Parkinson’s disease - benefits from objective methods
por: Fransson, Per-Anders, et al.
Publicado: (2020)

Discovering biological connections between experimental conditions based on common patterns of differential gene expression
por: Gower, Adam C, et al.
Publicado: (2011)

Grid-based stochastic search for hierarchical gene-gene interactions in population-based genetic studies of common human diseases
por: Moore, Jason H., et al.
Publicado: (2017)

Identification of Differentially Evolved Genes: An Alternative Approach to Detection of Accelerated Molecular Evolution from Genome-Wide Comparative Data
por: Kim, Kyu-Won, et al.
Publicado: (2013)

A literature-based approach for curating gene signatures in multifaceted diseases
por: Garand, Mathieu, et al.
Publicado: (2020)

Objective identification of residue ranges for the superposition of protein structures
por: Kirchner, Donata K, et al.
Publicado: (2011)

Differential prioritization between relevance and redundancy in correlation-based feature selection techniques for multiclass gene expression data
por: Ooi, Chia Huey, et al.
Publicado: (2006)

Optimisation of region-specific reference gene selection and relative gene expression analysis methods for pre-clinical trials of Huntington's disease
por: Benn, Caroline L, et al.
Publicado: (2008)

Gene expression network analyses in response to air pollution exposures in the trucking industry
por: Chu, Jen-hwa, et al.
Publicado: (2016)

Novel applications of motif-directed profiling to identify disease resistance genes in plants
por: Vossen, Jack H, et al.
Publicado: (2013)

Network-Based Enriched Gene Subnetwork Identification: A Game-Theoretic Approach
por: Razi, Abolfazl, et al.
Publicado: (2016)

Identification of reliable reference genes for quantitative real-time PCR normalization in pitaya
por: Chen, Canbin, et al.
Publicado: (2019)

Identification of Prognostic Genes and Pathways in Lung Adenocarcinoma Using a Bayesian Approach
por: Jiang, Yu, et al.
Publicado: (2020)

Robust and rigorous identification of tissue-specific genes by statistically extending tau score
por: Lüleci, Hatice Büşra, et al.
Publicado: (2022)

Quantifying the risk of error when interpreting funnel plots
por: Simmonds, Mark
Publicado: (2015)

Flux variability scanning based on enforced objective flux for identifying gene amplification targets
por: Park, Jong Myoung, et al.
Publicado: (2012)

Cannot write session to /tmp/vufind_sessions/sess_9tksc9e93ud4ros3mpelgoo2kd