Showing 1 - 10 of 279
The strength of the statistical evidence in a sample of data that favors one composite hypothesis over another may be quantified by the likelihood ratio using the parameter value consistent with each hypothesis that maximizes the likelihood function. Unlike the p-value and the Bayes factor, this...
Persistent link: https://www.econbiz.de/10009468302
A general function to quantify the weight of evidence in a sample of data for one hypothesis over another is derived from the law of likelihood and from a statistical formalization of inference to the best explanation. For a fixed parameter of interest, the resulting weight of evidence that...
Persistent link: https://www.econbiz.de/10009468303
An important goal of research involving gene expression data for outcome prediction is to establish the ability of genomic data to define clinically relevant risk factors. Recent studies have demonstrated that microarray data can successfully cluster patients into low and high risk categories....
Persistent link: https://www.econbiz.de/10009468307
Research on analyzing microarray data has focused on the problem of identifying differentially expressed genes to the neglect of the problem of how to integrate evidence that a gene is differentially expressed with information on the extent of its differential expression. Consequently,...
Persistent link: https://www.econbiz.de/10009468311
Microarrays enable to measure the expression levels of tens of thousands of genes simultaneously. One important … the FDR are the SAM (Significance Analysis of Microarrays) procedure and an empirical Bayes approach. In the two group …
Persistent link: https://www.econbiz.de/10010306240
Building predictive models for genomic mining requires feature selection, as an essential preliminary step to reduce the large number of variable available. Feature selection is a process to select a subset of features which is the most essential for the intended tasks such as classification,...
Persistent link: https://www.econbiz.de/10010326099
To identify molecular mechanisms by which early life social conditions might influence adult risk of disease in rhesus macaques (Macaca mulatta), we analyze changes in basal leukocyte gene expression profiles in 4-month-old animals reared under adverse social conditions. Compared to the basal...
Persistent link: https://www.econbiz.de/10010289875
Causal discovery algorithms aim to identify causal relations from observational data and have become a popular tool for analysing genetic regulatory systems. In this work, we applied causal discovery to obtain novel insights into the genetic regulation underlying head-and-neck squamous cell...
Persistent link: https://www.econbiz.de/10012428705
Microarrays enable to measure the expression levels of tens of thousands of genes simultaneously. One important … the FDR are the SAM (Significance Analysis of Microarrays) procedure and an empirical Bayes approach. In the two group …
Persistent link: https://www.econbiz.de/10010514276
To identify molecular mechanisms by which early life social conditions might influence adult risk of disease in rhesus macaques (Macaca mulatta), we analyze changes in basal leukocyte gene expression profiles in 4-month-old animals reared under adverse social conditions. Compared to the basal...
Persistent link: https://www.econbiz.de/10010990923