Cargando…

Differential expression analysis with global network adjustment

BACKGROUND: Large-scale chromosomal deletions or other non-specific perturbations of the transcriptome can alter the expression of hundreds or thousands of genes, and it is of biological interest to understand which genes are most profoundly affected. We present a method for predicting a gene’s expr...

Descripción completa

Detalles Bibliográficos
Autores principales:	Gelfond, Jonathan A, Ibrahim, Joseph G, Gupta, Mayetri, Chen, Ming-Hui, Cody, Jannine D
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	BioMed Central 2013
Materias:	Methodology Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3766173/ https://www.ncbi.nlm.nih.gov/pubmed/23968143 http://dx.doi.org/10.1186/1471-2105-14-258

Ejemplares similares

Reproducibility of quantitative RT-PCR array in miRNA expression profiling and comparison with microarray analysis
por: Chen, Yongxin, et al.
Publicado: (2009)

Metrics to estimate differential co-expression networks
por: Gonzalez-Valbuena, Elpidio-Emmanuel, et al.
Publicado: (2017)

DNLC: differential network local consistency analysis
por: Lu, Jianwei, et al.
Publicado: (2019)

MECoRank: cancer driver genes discovery simultaneously evaluating the impact of SNVs and differential expression on transcriptional networks
por: Hui, Ying, et al.
Publicado: (2019)

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

BALLI: Bartlett-adjusted likelihood-based linear model approach for identifying differentially expressed genes with RNA-seq data
por: Park, Kyungtaek, et al.
Publicado: (2019)

Improved adherence adjustment in the Coronary Drug Project
por: Murray, Eleanor J., et al.
Publicado: (2018)

Protein co-expression network analysis (ProCoNA)
por: Gibbs, David L, et al.
Publicado: (2013)

Age-adjusted nonparametric detection of differential DNA methylation with case–control designs
por: Huang, Hanwen, et al.
Publicado: (2013)

The effect of covariate adjustment for baseline severity in acute stroke clinical trials with responder analysis outcomes
por: Garofolo, Kyra M, et al.
Publicado: (2013)

A tiling microarray for global analysis of chloroplast genome expression in cucumber and other plants
por: Żmieńko, Agnieszka, et al.
Publicado: (2011)

Adjusting wheal size measures to correct atopy misclassification
por: Zhang, Hongmei, et al.
Publicado: (2011)

Adjusting for non-response in the Finnish Drinking Habits Survey
por: Tolonen, Hanna, et al.
Publicado: (2019)

Adjusting microbiome profiles for differences in microbial load by spike-in bacteria
por: Stämmler, Frank, et al.
Publicado: (2016)

Candidate gene prioritization by network analysis of differential expression using machine learning approaches
por: Nitsch, Daniela, et al.
Publicado: (2010)

Incorporating prior biological knowledge for network-based differential gene expression analysis using differentially weighted graphical LASSO
por: Zuo, Yiming, et al.
Publicado: (2017)

More efficient and inclusive time-to-event trials with covariate adjustment: a simulation study
por: Momal, Raphaëlle, et al.
Publicado: (2023)

Derivative-based time-adjusted analysis of diurnal and within-tree variation in the OJIP fluorescence transient of silver birch
por: Akinyemi, Olusegun Olaitan, et al.
Publicado: (2023)

An iteration normalization and test method for differential expression analysis of RNA-seq data
por: Zhou, Yan, et al.
Publicado: (2014)

Fully moderated t-statistic in linear modeling of mixed effects for differential expression analysis
por: Yu, Lianbo, et al.
Publicado: (2019)

An adjusted bed net coverage indicator with estimations for 23 African countries
por: Vanderelst, Dieter, et al.
Publicado: (2013)

Calculating disability-adjusted-life-years lost (DALYs) in discrete-time
por: Larson, Bruce A
Publicado: (2013)

Adjusting for sampling variability in sparse data: geostatistical approaches to disease mapping
por: Hampton, Kristen H, et al.
Publicado: (2011)

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

DECODE: an integrated differential co-expression and differential expression analysis of gene expression data
por: Lui, Thomas WH, et al.
Publicado: (2015)

Gene Expression Based Leukemia Sub-Classification Using Committee Neural Networks
por: Sewak, Mihir S., et al.
Publicado: (2009)

A further critique of the analytic strategy of adjusting for covariates to identify biologic mediation
por: Kaufman, Jay S, et al.
Publicado: (2004)

The Prescription of Allopurinol in a Tertiary Care Centre: Appropriate Indications and Dose Adjustment
por: Jamal, Al-Bishri, et al.
Publicado: (2012)

A technique to determine the fastest age-adjusted masters marathon world records
por: Vanderburgh, Paul M.
Publicado: (2016)

A power law global error model for the identification of differentially expressed genes in microarray data
por: Pavelka, Norman, et al.
Publicado: (2004)

Combining location-and-scale batch effect adjustment with data cleaning by latent factor adjustment
por: Hornung, Roman, et al.
Publicado: (2016)

Adjustment of foreign EQ-5D-3L utilities can increase their transferability
por: Oddershede, Lars, et al.
Publicado: (2015)

Individual level covariate adjusted conditional autoregressive (indiCAR) model for disease mapping
por: Huque, Md. Hamidul, et al.
Publicado: (2016)

Planning a method for covariate adjustment in individually randomised trials: a practical guide
por: Morris, Tim P., et al.
Publicado: (2022)

A comparison of covariate adjustment approaches under model misspecification in individually randomized trials
por: Tackney, Mia S., et al.
Publicado: (2023)

Multivariate analysis of microarray data: differential expression and differential connection
por: Kiiveri, Harri T
Publicado: (2011)

Identifying module biomarkers from gastric cancer by differential correlation network
por: Liu, Xiaoping, et al.
Publicado: (2016)

Visualization methods for differential expression analysis
por: Rutter, Lindsay, et al.
Publicado: (2019)

On Differential Gene Expression Using RNA-Seq Data
por: Lee, Juhee, et al.
Publicado: (2011)

LSOSS: Detection of Cancer Outlier Differential Gene Expression
por: Wang, Yupeng, et al.
Publicado: (2010)

Cannot write session to /tmp/vufind_sessions/sess_hlnesahc6htvuuvroq4220rjmf