positive false discovery rate
Adaptive False Discovery Rate Control under Independence and Dependence
... The most striking fact is that [Storey- 1 2 ] does not control the FDR at the desired level any longer under positive dependence, and can even be off by quite a large factor. This is in accordance with the ...
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Discrete False-Discovery Rate Improves Identification of Differentially Abundant Microbes
... FDR is controlled and is less aggressive in removing potentially interesting taxa: first, reduce the number of tests by eliminating hypotheses whose minimal achievable P value cannot reach the nominal unadjusted q level ...
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Application of the False Discovery Rate to Quantitative Trait Loci Interval Mapping With Multiple Traits
... definition false for traits the multiple-trait test, the number of QTL detected for that have been shown by prior biometrical analyses to carcass weight and last rib back fat at the 10% level have nonzero ...of ...
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Incorporating prior knowledge to facilitate discoveries in a genome wide association study on age related macular degeneration
... the false discovery rate (FDR) control approach, a genome-wide association study (GWAS) may still fall short of discovering any true positive gene, particularly when it has a relatively small ...
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Quantitative Trait Loci Analysis Using the False Discovery Rate
... B enjamini and H ochberg (1995) also introduced a FDR-controlling procedure [sometimes called linear step-up or the Benjamini-Hochberg (BH) procedure] and proved that it controls the FDR for independent test statistics. ...
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Asymptotic Results on Adaptive False Discovery Rate Controlling Procedures Based on Kernel Estimators
... In this paper, we study the asymptotic behavior of a class of plug-in procedures based on kernel estimators of the density of the p-values, as the number m of tested hypotheses grows to infinity. In a setting where the ...
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Binormal Precision-Recall and ROC Classification and Variable Selection
... lower false discovery rate is ...the positive example proportions, our proposed classifiers, both the AUCROC classifier and the AUCPR classifier are able to find the optimal classifier close ...
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False Discovery Rate in Linkage and Association Genome Screens for Complex Disorders
... in x. This definition is a specific formal requirement for what we may call “positive dependence,” and in the context of genome screens, PRDS can be loosely interpreted as follows: if two markers are linked [or in ...
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Improving Performance of Neighbor Discovery in MANET by using Threshold Value and Time Out Parameter
... Neighbor discovery In MANET by Using Threshold value and Time out parameter” the protocol offers false positive and false negative rate improvement within the existence of various ...
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Penalized Multimarker vs. Single-Marker Regression Methods for Genome-Wide Association Studies of Quantitative Traits
... error rate (proportion of replicates with 1 false positives); tFDR is an empirical thresholded false discovery rate mean(nFP/nSig) with nFP (nSig) being the number of false ...
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<p>The Value of DNA Quantitative Cytology Test for the Screening of Endometrial Cancer</p>
... In this study, endometrial cell specimens were obtained directly by endometrial cell collector. DNA quantitative ana- lysis was carried out by liquid-based thin-layer cytology and Feulgen staining. Then, we evaluated the ...
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RNA and DNA Sequence Analysis of the Human Transcriptome
... transcriptome information at the single-nucleotide level. The resolution afforded by next- generation sequencing technology has allowed for genome-wide studies on RNA editing in humans (J. B. Li et al. 2009; Peng et al. ...
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miR-363-5p as potential prognostic marker for hepatocellular carcinoma indicated by weighted co-expression network analysis of miRNAs and mRNA
... Furthermore, before GO enrichment analysis of miRNA targets, target genes of miRNAs in the modules were predicted based on the information in TargetScan (http://www.targetscan.org/), miRanda (http://www.mi- ...
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Genetic Algorithm Operations Implementation on Traffic Anomaly Intrusion Detection using NSLKDD Dataset
... In this paper, we implemented Genetic Algorithm operations for traffic anomaly intrusion detection with a proposed fitness function. The drawback of existing fitness function and need for proposed fitness function is all ...
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The effect of alternative permutation testing strategies on the performance of multifactor dimensionality reduction
... controls false positives without limiting ...of false positives to the risk of missing a true signal, it is recommended that significance levels be assigned to one or more models from the final set using ...
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Recognition of human activities with wearable sensors
... remarkably reduced from 350 to 12 while fully maintaining the most discriminative information. The reduced feature vectors are then classified by the RVM technique according to an extended multiclass model, which shows ...
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Threshold Selection Study on Fisher Discriminant Analysis Used in Exon Prediction for Unbalanced Data Sets
... In gene prediction, the Fisher discriminant analysis (FDA) is used to separate protein coding region (exon) from non- coding regions (intron). Usually, the positive data set and the negative data set are of the ...
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A systematic comparison of statistical methods to detect interactions in exposome-health associations
... The existing literature provides only a limited number of comparisons between the methods examined in this study and other alternatives. For instance, GLINTERNET was shown to perform comparably to the R package hierNet, ...
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Bio/Nature-inspired algorithms in A.I. for malicious activity detection
... Most of the (D)DoS attacks, Flooding types in particular, can be classified as constant rate. In constant rate attacks, the attackers generate a high steady rate of traffic towards the target [5]. ...
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Synovial fluid biomarkers associated with osteoarthritis severity reflect macrophage and neutrophil related inflammation
... We recently discovered that synovial fluid (SF) bio- markers CD14 and CD163, soluble forms of macrophage cell surface markers, and SF elastase, secreted by neutro- phils [8, 16], function as quantitative traits of the ...
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