Gene-gene interactions (GGIs) are important markers for determining susceptibility to a disease. Multifactor dimensionality reduction (MDR) is a popular algorithm for detecting GGIs and primarily adopts the correct classification rate (CCR) to assess the quality of a GGI. However, CCR measurement alone may not successfully detect certain GGIs because of potential model preferences and disease complexities. In this study, multiple-criteria decision analysis (MCDA) based on MDR was named MCDA-MDR and proposed for detecting GGIs. MCDA facilitates MDR to simultaneously adopt multiple measures within the two-way contingency table of MDR to assess GGIs; the CCR and rule utility measure were employed. Cross-validation consistency was adopted to determine the most favorable GGIs among the Pareto sets. Simulation studies were conducted to compare the detection success rates of the MDR-only-based measure and MCDA-MDR, revealing that MCDA-MDR had superior detection success rates. The Wellcome Trust Case Control Consortium dataset was analyzed using MCDA-MDR to detect GGIs associated with coronary artery disease, and MCDA-MDR successfully detected numerous significant GGIs (p < 0.001). MCDA-MDR performance assessment revealed that the applied MCDA successfully enhanced the GGI detection success rate of the MDR-based method compared with MDR alone.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1109/JBHI.2018.2790951 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Optimization of in vitro propagation and virus eradication using meristem culture and thermotherapy in two geranium species Pelargonium X hortorum ('Zonal') and Pelargonium × domesticum ('Regal').
BMC Plant Biol
January 2025
Department of Plant Production and Genetic (Biotechnology), Faculty of Agriculture, Jahrom University, Jahrom, Iran.
Background: Geraniums (Pelargonium) are among the most popular flowers worldwide. Viral infection is one of the main problems of the genus Pelargonium, and the production of virus-free mother plants is necessary for large-scale geranium propagation and exchange. Meristem culture and thermotherapy are two effective procedures that have been widely adopted to produce healthy virus-free plant stocks.
View Article and Find Full Text PDFExploring transition states of protein conformational changes via out-of-distribution detection in the hyperspherical latent space.
Nat Commun
January 2025
Department of Chemistry, Theoretical Chemistry Institute, University of Wisconsin-Madison, Madison, WI, 53706, USA.
Identifying transitional states is crucial for understanding protein conformational changes that underlie numerous biological processes. Markov state models (MSMs), built from Molecular Dynamics (MD) simulations, capture these dynamics through transitions among metastable conformational states, and have demonstrated success in studying protein conformational changes. However, MSMs face challenges in identifying transition states, as they partition MD conformations into discrete metastable states (or free energy minima), lacking description of transition states located at the free energy barriers.
View Article and Find Full Text PDFTarget-assisted self-powered photoelectrochemical sensor based on AgS/BiOCl heterojunction for ultrasensitive chlorpyrifos detection.
Talanta
December 2024
College of Geography and Environmental Sciences, College of Chemistry and Materials Sciences, Key Laboratory of Watershed Earth Surface Processes and Ecological Security, Zhejiang Normal University, Jinhua, 321004, China. Electronic address:
Chlorpyrifos (CPF), a widely used organophosphorus pesticide, presents substantial risks to both environmental and human health due to its persistent accumulation, thereby necessitating the development of effective detection methods. Self-powered photoelectrochemical (PEC) sensors, as an innovative technology, address the limitations inherent in conventional sensors, such as susceptibility to interference and inadequate signal response. Herein, we synthesized AgS/BiOCl as a photosensitive material, employing it as a light-harvesting substrate and a signal-transducing platform to develop a self-powered PEC sensor for the detection of CPF.
View Article and Find Full Text PDFSynthesis of tertiary alkyl amines via photoinduced copper-catalysed nucleophilic substitution.
Nat Chem
January 2025
Division of Chemistry and Chemical Engineering, California Institute of Technology, Pasadena, CA, USA.
In view of the high propensity of tertiary alkyl amines to be bioactive, the development of new methods for their synthesis is an important challenge. Transition-metal catalysis has the potential to greatly expand the scope of nucleophilic substitution reactions of alkyl electrophiles; unfortunately, in the case of alkyl amines as nucleophiles, only one success has been described so far: the selective mono-alkylation of primary amines to form secondary amines. Here, using photoinduced copper catalysis, we report the synthesis of tertiary alkyl amines from secondary amines and unactivated alkyl electrophiles, two readily available coupling partners.
View Article and Find Full Text PDFSVM directed machine learning classifier for human action recognition network.
Sci Rep
January 2025
Department of Electrical and Computer Engineering, Hawassa University, Hawassa 05, Ethiopia.
Understanding human behavior and human action recognition are both essential components of effective surveillance video analysis for the purpose of guaranteeing public safety. However, existing approaches such as three-dimensional convolutional neural networks (3D CNN) and two-stream neural networks (2SNN) have computational hurdles due to the significant parameterization they require. In this paper, we offer HARNet, a specialized lightweight residual 3D CNN that is built on directed acyclic graphs and was created expressly to handle these issues and achieve effective human action detection.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!