ArticleBiostatistics (Oxford, England)2009
Genomic outlier profile analysis: mixture models, null hypotheses, and nonparametric estimation.
Article in Biostatistics (Oxford, England), 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed.
- A fast score test for generalized mixture models.Biometrics · 2020Article
- Outlier analysis of functional genomic profiles enriches for oncology targets and enables precision medicine.BMC genomics · 2016Article
- Unsupervised outlier profile analysis.Cancer informatics · 2014Review
- Quantitative characterization of cellular membrane-receptor heterogeneity through statistical and computational modeling.PloS one · 2014Article
- Pathway-based outlier method reveals heterogeneous genomic structure of autism in blood transcriptome.BMC medical genomics · 2013Article
- Genomic outlier detection in high-throughput data analysis.Methods in molecular biology (Clifton, N.J.) · 2013Article
- Comparison of methods to identify aberrant expression patterns in individual patients: augmenting our toolkit for precision medicine.Genome medicine · 2013Article
- Distinct patterns of dysregulated expression of enzymes involved in androgen synthesis and metabolism in metastatic prostate cancer tumors.Cancer research · 2012Article
- NIRF constitutes a nodal point in the cell cycle network and is a candidate tumor suppressor.Cell cycle (Georgetown, Tex.) · 2011Article
- Integrative genomic profiling of human prostate cancer.Cancer cell · 2010Article
- Discrete nonparametric algorithms for outlier detection with genomic data.Journal of biopharmaceutical statistics · 2010Article
- Evaluation of fecal mRNA reproducibility via a marginal transformed mixture modeling approach.BMC bioinformatics · 2010Article
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2 authors.
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Abstract
In most analyses of large-scale genomic data sets, differential expression analysis is typically assessed by testing for differences in the mean of the distributions between 2 groups. A recent finding by Tomlins and others (2005) is of a different type of pattern of differential expression in which a fraction of samples in one group have overexpression relative to samples in the other group. In this work, we describe a general mixture model framework for the assessment of this type of expression, called outlier profile analysis. We start by considering the single-gene situation and establishing results on identifiability. We propose 2 nonparametric estimation procedures that have natural links to familiar multiple testing procedures. We then develop multivariate extensions of this methodology to handle genome-wide measurements. The proposed methodologies are compared using simulation studies as well as data from a prostate cancer gene expression study.
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