Analysis of protein sequence and interaction data for candidate disease gene prediction
نویسندگان
چکیده
منابع مشابه
Analysis of protein sequence and interaction data for candidate disease gene prediction
Linkage analysis is a successful procedure to associate diseases with specific genomic regions. These regions are often large, containing hundreds of genes, which make experimental methods employed to identify the disease gene arduous and expensive. We present two methods to prioritize candidates for further experimental study: Common Pathway Scanning (CPS) and Common Module Profiling (CMP). CP...
متن کاملIntegrating Gene Expression and Protein Interaction Data for Signaling Pathway Prediction of Alzheimer's Disease
Discovering the signaling pathway and regulatory network would provide significant advance in genome-wide understanding of pathogenesis of human diseases. Despite the rich transcriptome data, the limitation for microarray data is unable to detect changes beyond transcriptional level and insufficient in reconstructing pathways and regulatory networks. In our study, protein-protein interaction (P...
متن کاملPrediction of Protein Sub-Mitochondria Locations Using Protein Interaction Networks
Background: Prediction of the protein localization is among the most important issues in the bioinformatics that is used for the prediction of the proteins in the cells and organelles such as mitochondria. In this study, several machine learning algorithms are applied for the prediction of the intracellular protein locations. These algorithms use the features extracted from pro...
متن کاملNetwork Biomarkers Constructed from Gene Expression and Protein-Protein Interaction Data for Accurate Prediction of Leukemia
Leukemia is a leading cause of cancer deaths in the developed countries. Great efforts have been undertaken in search of diagnostic biomarkers of leukemia. However, leukemia is highly complex and heterogeneous, involving interaction among multiple molecular components. Individual molecules are not necessarily sensitive diagnostic indicators. Network biomarkers are considered to outperform indiv...
متن کاملPrediction of Coffee Effects in Rats with Healthy and NAFLD Conditions Based on Protein-Protein Interaction Network Analysis
Background and objectives: Non-alcoholic fatty liver disease (NAFLD) is a common liver condition. On the other hand, coffee consumption has shown promising for gastrointestinal diseases. Detection of the most valuable biomarkers of decaffeinated coffee treatment in healthy and non-alcoholic fatty liver disease conditions was the aim of the present study. Methods:</stro...
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: Nucleic Acids Research
سال: 2006
ISSN: 0305-1048,1362-4962
DOI: 10.1093/nar/gkl707