Abstract
Identifying the disease-related genes of important human diseases from genomics can provide valuable clues for the discovery of potential therapeutic targets. However, discovering the disease-related genes by traditional biological experiments methods is usually laborious and time-consuming. Therefore, it is necessary to develop a powerful computational approach to improve the effectiveness of disease-related gene identification. In this study, multiple sequence features of known disease-related genes in 62 kinds of diseases were extracted, and then the selected features were further optimized and analyzed for disease-related genes prediction. The leave-one-out cross-validation tests demonstrated that 55% of the disease-related genes can be ranked within the top 10 of the prediction results, which confirmed the reliability of this multi-feature fusion approach.
Keywords: Disease-related gene, sequence features, usage bias, F-statistic
Current Proteomics
Title: Prediction of Disease-Related Genes Based on Hybrid Features
Volume: 7 Issue: 2
Author(s): Mingxiao Li, Zhibin Li, Zhenran Jiang and Dandan Li
Affiliation:
Keywords: Disease-related gene, sequence features, usage bias, F-statistic
Abstract: Identifying the disease-related genes of important human diseases from genomics can provide valuable clues for the discovery of potential therapeutic targets. However, discovering the disease-related genes by traditional biological experiments methods is usually laborious and time-consuming. Therefore, it is necessary to develop a powerful computational approach to improve the effectiveness of disease-related gene identification. In this study, multiple sequence features of known disease-related genes in 62 kinds of diseases were extracted, and then the selected features were further optimized and analyzed for disease-related genes prediction. The leave-one-out cross-validation tests demonstrated that 55% of the disease-related genes can be ranked within the top 10 of the prediction results, which confirmed the reliability of this multi-feature fusion approach.
Export Options
About this article
Cite this article as:
Li Mingxiao, Li Zhibin, Jiang Zhenran and Li Dandan, Prediction of Disease-Related Genes Based on Hybrid Features, Current Proteomics 2010; 7 (2) . https://dx.doi.org/10.2174/157016410791330525
DOI https://dx.doi.org/10.2174/157016410791330525 |
Print ISSN 1570-1646 |
Publisher Name Bentham Science Publisher |
Online ISSN 1875-6247 |
- Author Guidelines
- Graphical Abstracts
- Fabricating and Stating False Information
- Research Misconduct
- Post Publication Discussions and Corrections
- Publishing Ethics and Rectitude
- Increase Visibility of Your Article
- Archiving Policies
- Peer Review Workflow
- Order Your Article Before Print
- Promote Your Article
- Manuscript Transfer Facility
- Editorial Policies
- Allegations from Whistleblowers
- Announcements
Related Articles
-
Altered Calmodulin Degradation and Signaling in Non-Neuronal Cells from Alzheimer’s Disease Patients
Current Alzheimer Research Diamidine Activity Against Trypanosomes: The State of the Art
Current Molecular Pharmacology The Anti-fibrotic Hormone Relaxin is not Reno-protective, Despite Being Active, in an Experimental Model of Type 1 Diabetes
Protein & Peptide Letters Endothelial Expression of MHC Class II Molecules in Autoimmune Disease
Current Pharmaceutical Design Novel Agents Targeting Nitric Oxide
Current Vascular Pharmacology Use of Contrast Echocardiography in Intensive Care and at the Emergency Room
Current Cardiology Reviews Donor-transmitted Anterior Myocardial Ischaemia in a Teenager: How to Proceed?
New Emirates Medical Journal The Role of 18FDG PET/CT in the Assessment of Endocarditis, Myocarditis and Pericarditis
Current Radiopharmaceuticals Cytokine Gene Polymorphism in Heart Transplantation: A Review
Current Genomics The Role of Calcium and the L-Type Calcium Channel in Pathological Remodeling of the Heart
Vascular Disease Prevention (Discontinued) Multimodality Imaging for Interventional Cardiology
Current Pharmaceutical Design Adverse Effects of Cigarette Smoke and Induction of Oxidative Stress in Cardiomyocytes and Vascular Endothelium
Current Pharmaceutical Design L-Type Calcium Channels
Current Pharmaceutical Design The Cardiac Microvasculature in Hypertension, Cardiac Hypertrophy and Diastolic Heart Failure
Current Vascular Pharmacology Transthyretin Deposition in Familial Amyloidotic Polyneuropathy
Current Medicinal Chemistry MicroRNA Therapeutics: the Next Magic Bullet?
Mini-Reviews in Medicinal Chemistry Context-Dependency of Relations Between Cardiovascular Phenotypes and Genes Involved in Sodium Homeostasis: Findings from the European Project on Genes in Hypertension
Current Hypertension Reviews Urinary Steroids Measured by Modern Separation Techniques and Applied as Biomarkers in Stress Studies
Current Pharmaceutical Analysis Pharmacotherapy of Dilated Cardiomyopathy
Current Pharmaceutical Design Drug-induced Cardiac Mitochondrial Toxicity and Protection: From Doxorubicin to Carvedilol
Current Pharmaceutical Design