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Showing 1 to 9 of 9 for “"FDR control"”.

  1. Assessment of Penalized Regression for Genome-wide Association Studies

    … and SNP selection by False Discovery Rate (FDR) control, and assess their performance (including penalties incorporating linkage disequilibrium) in comparison with SMA. PR methods were compared with SMA on realistically simulated GWAS data consisting of genotype data from single and multiple …

    vt Repository record for Assessment of Penalized Regression for Genome-wide Association Studies (opens in a new tab)

  2. New Results on the False Discovery Rate

    The false discovery rate (FDR) introduced by Benjamini and Hochberg (1995) is perhaps the most standard error controlling measure being used in a wide variety of applications involving multiple hypothesis testing. There are two approaches to control the FDR - the fixed error rate approach of …

    temple Repository record for New Results on the False Discovery Rate (opens in a new tab)

  3. Outcome selection in longitudinal analysis of immunological data

    … of families of tests for false discovery rate (FDR) corrections. When outcomes are selected via PCA-only dimension reduction, more tests are performed simultaneously and require correction. It was hypothesised that HCA followed by PCA would yield more significant discoveries after FDR control. …

    cape-town Repository record for Outcome selection in longitudinal analysis of immunological data (opens in a new tab)

  4. Multiple Testing Embedded in an Aggregation Tree With Applications to Omics Data

    … and under mild assumptions, asymptotically control the layer-specific and overall false discovery rate (FDR). Simulations verify our theoretical results. When applied to real flow cytometry data, TEAM captures cell subtypes that are overexpressed in cytomegalovirus stimulation vs. control. …

    duke Repository record for Multiple Testing Embedded in an Aggregation Tree With Applications to Omics Data (opens in a new tab)

  5. Mixture Model Approaches to Integrative Analysis of Multi-Omics Data and Spatially Correlated Genomic Data

    … of a large <em>p</em> small <em>n</em> case-control epigenome-wide association study of pancreatic cancer (PanC). We demonstrated the effectiveness of our strategy through the detection and validation of methylation changes associated with PanC risk. We further discovered functional …

    uthsc Repository record for Mixture Model Approaches to Integrative Analysis of Multi-Omics Data and Spatially Correlated Genomic Data (opens in a new tab)

  6. Multiple testing in spatial epidemiology: a Bayesian approach

    … method, which focus on multiple testing control, without however leaving the preliminary study perspective that an analysis on SMR indicators is asked to. We implement the control of the FDR, a quantity largely used to address multiple comparisons problems in the eld of microarray data …

    bologna Repository record for Multiple testing in spatial epidemiology: a Bayesian approach (opens in a new tab)

  7. Enhancing Pavement Surface Macrotexture Characterization

    … Texture Meter (CTMeter) that was chosen as the control device. Although this first method was able to successfully remove the spikes, it has the drawback that it depends on manual modeling of the distribution of the wavelet coefficients to correctly define an appropriate threshold. The next step …

    vt Repository record for Enhancing Pavement Surface Macrotexture Characterization (opens in a new tab)

  8. Multiple testing procedures for complex structured hypotheses and directional decisions

    … and aims at answering research questions while controlling appropriate error rates. In the first part of the thesis, a mixed directional false discovery rate (mdFDR) controlling procedure is developed in the context of uterine fibroid gene expression data (Davis et al., 2013). The main question …

    njit Repository record for Multiple testing procedures for complex structured hypotheses and directional decisions (opens in a new tab)

  9. Evaluation of the difference between two spatiotemporal random fields

    Comparing the spatial characteristics of spatiotemporal random fields is often in demand in various fields of study. Especially in climatology, people are interested in learning the difference between the synthetic climate simulation model and climate field reconstructions (CFR) which are estimates …

    uiuc Repository record for Evaluation of the difference between two spatiotemporal random fields (opens in a new tab)