Literature DB >> 20379180

Analyzing 'omics data using hierarchical models.

Hongkai Ji1, X Shirley Liu.   

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Year:  2010        PMID: 20379180      PMCID: PMC2904972          DOI: 10.1038/nbt.1619

Source DB:  PubMed          Journal:  Nat Biotechnol        ISSN: 1087-0156            Impact factor:   54.908


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  6 in total

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5.  Enriching the analysis of genomewide association studies with hierarchical modeling.

Authors:  Gary K Chen; John S Witte
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6.  Intensity-based hierarchical Bayes method improves testing for differentially expressed genes in microarray experiments.

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  6 in total
  26 in total

1.  ScreenBEAM: a novel meta-analysis algorithm for functional genomics screens via Bayesian hierarchical modeling.

Authors:  Jiyang Yu; Jose Silva; Andrea Califano
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2.  Bayesian inference with historical data-based informative priors improves detection of differentially expressed genes.

Authors:  Ben Li; Zhaonan Sun; Qing He; Yu Zhu; Zhaohui S Qin
Journal:  Bioinformatics       Date:  2015-10-30       Impact factor: 6.937

3.  Statistical analysis of multi-dimensional, temporal gene expression of stem cells to elucidate colony size-dependent neural differentiation.

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Journal:  Mol Omics       Date:  2018-04-16

Review 4.  Analysing and interpreting DNA methylation data.

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Journal:  Nat Rev Genet       Date:  2012-10       Impact factor: 53.242

5.  Improving Hierarchical Models Using Historical Data with Applications in High-Throughput Genomics Data Analysis.

Authors:  Ben Li; Yunxiao Li; Zhaohui S Qin
Journal:  Stat Biosci       Date:  2016-07-08

6.  ROBUST HYPERPARAMETER ESTIMATION PROTECTS AGAINST HYPERVARIABLE GENES AND IMPROVES POWER TO DETECT DIFFERENTIAL EXPRESSION.

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7.  In silico method for modelling metabolism and gene product expression at genome scale.

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8.  Bayesian Hierarchical Model for Differential Gene Expression Using RNA-seq Data.

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Journal:  Stat Biosci       Date:  2015-05-01

9.  Assessing the validity and reproducibility of genome-scale predictions.

Authors:  Lauren A Sugden; Michael R Tackett; Yiannis A Savva; William A Thompson; Charles E Lawrence
Journal:  Bioinformatics       Date:  2013-09-17       Impact factor: 6.937

10.  Normalization and statistical analysis of multiplexed bead-based immunoassay data using mixed-effects modeling.

Authors:  David C Clarke; Melody K Morris; Douglas A Lauffenburger
Journal:  Mol Cell Proteomics       Date:  2012-10-15       Impact factor: 5.911

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