Cargando…

A statistical approach to selecting and confirming validation targets in -omics experiments

BACKGROUND: Genomic technologies are, by their very nature, designed for hypothesis generation. In some cases, the hypotheses that are generated require that genome scientists confirm findings about specific genes or proteins. But one major advantage of high-throughput technology is that global gene...

Descripción completa

Detalles Bibliográficos
Autores principales:	Leek, Jeffrey T, Taub, Margaret A, Rasgon, Jason L
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	BioMed Central 2012
Materias:	Methodology Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3568710/ https://www.ncbi.nlm.nih.gov/pubmed/22738145 http://dx.doi.org/10.1186/1471-2105-13-150

Ejemplares similares

Gene set bagging for estimating the probability a statistically significant result will replicate
por: Jaffe, Andrew E, et al.
Publicado: (2013)

Statistical integration of two omics datasets using GO2PLS
por: Gu, Zhujie, et al.
Publicado: (2021)

An Integrated Statistical Approach to Compare Transcriptomics Data Across Experiments: A Case Study on the Identification of Candidate Target Genes of the Transcription Factor PPARα
por: Ullah, Mohammad Ohid, et al.
Publicado: (2012)

Comparison of cancer subtype identification methods combined with feature selection methods in omics data analysis
por: Park, JiYoon, et al.
Publicado: (2023)

Diverse convergent evidence in the genetic analysis of complex disease: coordinating omic, informatic, and experimental evidence to better identify and validate risk factors
por: Ciesielski, Timothy H, et al.
Publicado: (2014)

Sparse generalized linear model with L(0) approximation for feature selection and prediction with big omics data
por: Liu, Zhenqiu, et al.
Publicado: (2017)

A multivariate approach to the integration of multi-omics datasets
por: Meng, Chen, et al.
Publicado: (2014)

A plant resource and experiment management system based on the Golm Plant Database as a basic tool for omics research
por: Köhl, Karin I, et al.
Publicado: (2008)

Visualising associations between paired ‘omics’ data sets
por: González, Ignacio, et al.
Publicado: (2012)

Multi–omic analysis of signalling factors in inflammatory comorbidities
por: Xiao, Hui, et al.
Publicado: (2018)

Statistical quality assessment and outlier detection for liquid chromatography-mass spectrometry experiments
por: Schulz-Trieglaff, Ole, et al.
Publicado: (2009)

Detecting multiple spatial disease clusters: information criterion and scan statistic approach
por: Takahashi, Kunihiko, et al.
Publicado: (2020)

Cooperation between Referees and Authors Increases Peer Review Accuracy
por: Leek, Jeffrey T., et al.
Publicado: (2011)

A multi-omics approach for identifying important pathways and genes in human cancer
por: Frost, H. Robert, et al.
Publicado: (2018)

A whitening approach to probabilistic canonical correlation analysis for omics data integration
por: Jendoubi, Takoua, et al.
Publicado: (2019)

A sample size planning approach that considers both statistical significance and clinical significance
por: Jia, Bin, et al.
Publicado: (2015)

Estimation of malaria haplotype and genotype frequencies: a statistical approach to overcome the challenge associated with multiclonal infections
por: Taylor, Aimee R, et al.
Publicado: (2014)

A flexible representation of omic knowledge for thorough analysis of microarray data
por: Hasegawa, Yoshikazu, et al.
Publicado: (2006)

Meta-analytic support vector machine for integrating multiple omics data
por: Kim, SungHwan, et al.
Publicado: (2017)

Proportion statistics to detect differentially expressed genes: a comparison with log-ratio statistics
por: Bergemann, Tracy L, et al.
Publicado: (2011)

A simple and reproducible breast cancer prognostic test
por: Marchionni, Luigi, et al.
Publicado: (2013)

A Jackknife and Voting Classifier Approach to Feature Selection and Classification
por: Taylor, Sandra L., et al.
Publicado: (2011)

Cross-validation pitfalls when selecting and assessing regression and classification models
por: Krstajic, Damjan, et al.
Publicado: (2014)

Statistical implications of pooling RNA samples for microarray experiments
por: Peng, Xuejun, et al.
Publicado: (2003)

PrestOMIC, an open source application for dissemination of proteomic datasets by individual laboratories
por: Howes, Charles G, et al.
Publicado: (2007)

Causal modeling in a multi-omic setting: insights from GAW20
por: Auerbach, Jonathan, et al.
Publicado: (2018)

Comparison of statistical approaches for analyzing incomplete longitudinal patient-reported outcome data in randomized controlled trials
por: Rombach, Ines, et al.
Publicado: (2018)

Statistical significance: p value, 0.05 threshold, and applications to radiomics—reasons for a conservative approach
por: Di Leo, Giovanni, et al.
Publicado: (2020)

An alternative protocol for Plasmodium falciparum culture synchronization and a new method for synchrony confirmation
por: Childs, Ronnie A, et al.
Publicado: (2013)

DeepMF: deciphering the latent patterns in omics profiles with a deep learning method
por: Chen, Lingxi, et al.
Publicado: (2019)

Statistical methodology for the analysis of dye-switch microarray experiments
por: Mary-Huard, Tristan, et al.
Publicado: (2008)

Statistical design of personalized medicine interventions: The Clarification of Optimal Anticoagulation through Genetics (COAG) trial
por: French, Benjamin, et al.
Publicado: (2010)

Simultaneous analysis of distinct Omics data sets with integration of biological knowledge: Multiple Factor Analysis approach
por: de Tayrac, Marie, et al.
Publicado: (2009)

Priority-Lasso: a simple hierarchical approach to the prediction of clinical outcome using multi-omics data
por: Klau, Simon, et al.
Publicado: (2018)

A statistical approach to finding overlooked genetic associations
por: Rider, Andrew K, et al.
Publicado: (2010)

HisB as novel selection marker for gene targeting approaches in Aspergillus niger
por: Fiedler, Markus R. M., et al.
Publicado: (2017)

Validation of analytical methods in compliance with good manufacturing practice: a practical approach
por: Rustichelli, Deborah, et al.
Publicado: (2013)

Validating a multi-locus metabarcoding approach for characterizing mixed-pollen samples
por: Wizenberg, Sydney B., et al.
Publicado: (2023)

Microbial risk score for capturing microbial characteristics, integrating multi-omics data, and predicting disease risk
por: Wang, Chan, et al.
Publicado: (2022)

A method for statistically comparing spatial distribution maps
por: Levine, Rebecca S, et al.
Publicado: (2009)

Cannot write session to /tmp/vufind_sessions/sess_7h6mng4da2ju48209jdcun753f