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Gene set enrichment analysis has been shown to be effective in identifying relevant biological pathways underlying complex diseases. Existing approaches lack the ability to quantify the enrichment levels accurately, hence preventing the enrichment information to be further utilized in both upstream and downstream analyses. A modernized and rigorous approach for gene set enrichment analysis that emphasizes both hypothesis testing and enrichment estimation is much needed.
This article was published in the following journal.
Name: Bioinformatics (Oxford, England)
Computational modeling plays an important role in modern neuroscience research. Much previous research has relied on statistical methods, separately, to address two problems that are actually interdep...
The ability to accurately measure recovery rate of infrastructure systems and communities impacted by disasters is vital to ensure effective response and resource allocation before, during, and after ...
This is part of a series of monographs on research design and analysis. The purpose of this article is to describe the purposes of and approach to conducting Bayesian decision making and analysis. Bay...
Cardiac elastography (CE) is an ultrasound-based technique utilizing radiofrequency (RF) signals for assessing global and regional myocardial function. In this work, a complete strain estimation pipel...
Individual assessment of infants' speech discrimination is of great value for studies of language development that seek to relate early and later skills, as well as for clinical work. The present stud...
The study aims at developing and validating an integrated clinico-molecular model for an accurate survival prognostication in newly diagnosed SMZL. Already existing and coded tumor biolog...
Heart failure (HF) is a serious and challenging syndrome. Globally 26 million people are living with this chronic disease and the prevalence is still increasing. Besides this growing numbe...
The situation of diabetes management in China is serious. To set up hierarchical medical system is necessary, though there was no mature or effective diabetes management model in the mainl...
Biomarker series can indicate disease progression and predict clinical endpoints. When a treatment is prescribed depending on the biomarker, confounding by indication might be introduced i...
The aim of this study is to analyze all of the variables with a Hierarchical Cluster Analysis of Multivariate Statistical Methods to obtain more sensitive results, and also to add a new di...
A statistical tool for detecting and modeling gene-gene interactions. It is a non-parametric and model-free approach.
Statistical formulations or analyses which, when applied to data and found to fit the data, are then used to verify the assumptions and parameters used in the analysis. Examples of statistical models are the linear model, binomial model, polynomial model, two-parameter model, etc.
A principle of estimation in which the estimates of a set of parameters in a statistical model are those quantities minimizing the sum of squared differences between the observed values of a dependent variable and the values predicted by the model.
A graphic device used in decision analysis, series of decision options are represented as branches (hierarchical).
MOLECULAR BIOLOGY techniques used in the diagnosis of disease. Included are such techniques as IN SITU HYBRIDIZATION of chromosomes for CYTOGENETIC ANALYSIS; OLIGONUCLEOTIDE ARRAY SEQUENCE ANALYSIS of gene expression patterns in disease states; identification of pathogenic organisms by analysis of species specific DNA sequences; and detection of mutations with POLYMERASE CHAIN REACTION.
Bioinformatics is the application of computer software and hardware to the management of biological data to create useful information. Computers are used to gather, store, analyze and integrate biological and genetic information which can then be applied...
Biological therapy involves the use of living organisms, substances derived from living organisms, or laboratory-produced versions of such substances to treat disease. Some biological therapies for cancer use vaccines or bacteria to stimulate the body&rs...