Introduction: In Iran, invasive nontyphoidal Salmonella (iNTS) disease causes severe bacteremic illness among children <5 years old. The global yearly incidence of iNTS disease in children was reported to be in the 3.4 (range&nbsp; 2.1-6.5) million cases,&nbsp; (overall incidence 49 cases (range 30-94) per 100,000 population), the iNTS case-fatality ratio (CFR) of 20% yielded 681,316&nbsp; deat...

background: aflatoxin b1 (afb1) is a toxic metaboliteproduced by aspergillus species that contaminates a wide range ofagricultural products. objectives: this study was designed todevelop a rapid and highly sensitive immunoassay method inmicroarray format for quantitative detection of afb1 to evaluatethe potential of microarray platform for high-throughput screening,which can be beneficial in fo...

With the extensive use of microarray technology as a potential prognostic and diagnostic tool, the comparison and reproducibility of results obtained from the use of different platforms is of interest. The integration of those datasets can yield more informative results corresponding to numerous datasets and microarray platforms. We developed a novel integration technique for microarray gene-ex...

MOTIVATION Microarrays are an important research tool for the advancement of basic biological sciences. However this technology has yet to be integrated with clinical decision making. We have implemented an information framework based on the Microarray Gene Expression Markup Language (MAGE-ML) specification. We are using this framework to develop a test-bed integrated database application to id...

We outline a paradigm for meta-microarray database creation and integration with clinical variables. We use as our implementation example a breast cancer database linking RNA expression measurements (by microarray) and clinical variables, such as survival metrics and tumor size. Such an endeavor involves integrating across different microarray datasets as well as clinical parameters. To this en...

Classifying cancer samples from gene expression data is one of the central problems in current systems biomedicine. The problem is challenging due to the small number of samples in comparison to the number of genes (mRNAs) in a typical microarray experiment. Recent reports suggest that feature selection may help to manage the problem. Furthermore, microRNA expression profiles have shown to prov...