Integrative analysis of multiple genomic variables using a hierarchical Bayesian model
نویسندگان
چکیده
منابع مشابه
Integrative analysis of multiple genomic variables using a hierarchical Bayesian model
Motivation Genes showing congruent differences in several genomic variables between two biological conditions are crucial to unravel causalities behind phenotypes of interest. Detecting such genes is important in biomedical research, e.g. when identifying genes responsible for cancer development. Small sample sizes common in next-generation sequencing studies are a key challenge, and there are ...
متن کاملIntegrative Bayesian Network Analysis of Genomic Data
Rapid development of genome-wide profiling technologies has made it possible to conduct integrative analysis on genomic data from multiple platforms. In this study, we develop a novel integrative Bayesian network approach to investigate the relationships between genetic and epigenetic alterations as well as how these mutations affect a patient's clinical outcome. We take a Bayesian network appr...
متن کاملAnalysis and Investigation of Landslide Hazard Zoning using Hybrid Model of Hierarchical Analysis and Surface Density
Identification of susceptible areas to landslide occurrence is one of the basic measures for reduction of the possible risk and hazard management. The main goal of this research is to compare the applicability of two statistical landslide hazard zonation models, valuing area accumulation and Analytical Hierarchy Process (AHP),in Ziarat Watershed, Gorgan, Golestan Province.In a review of previou...
متن کاملSpatial Projection of Multiple Climate Variables Using Hierarchical Multitask Learning
Future projection of climate is typically obtained by combining outputs from multiple Earth System Models (ESMs) for several climate variables such as temperature and precipitation. While IPCC has traditionally used a simple model output average, recent work has illustrated potential advantages of using a multitask learning (MTL) framework for projections of individual climate variables. In thi...
متن کاملXDE: A Bayesian hierarchical model for analysis of differential expression in multiple studies
There are many publicly available high throughput gene expression studies that address comparable biological questions with similar patient populations. For economical and practical reasons many of these studies have a relatively small number of biological replicates. To improve the statistical power it is of interest to combine observed data from several microarray studies, potentially measure...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Bioinformatics
سال: 2017
ISSN: 1367-4803,1460-2059
DOI: 10.1093/bioinformatics/btx356