Microarray data processing spans a large number of research themes starting from (1) microarray image analysis, (2) data cleaning and pre-processing, semantic integration of heterogeneous, distributed bio-medical databases, (3) exploration of existing data mining tools for bio-data analysis, and (4) development of advanced, effective, and scalable data mining methods in bio-data analysis [9]. T...

Microarrays show great promise in advancing the understanding of many biological phenomena, including toxicity and effectiveness of the many products regulated by the U.S. Food and Drug Administration. In addition, devices based on the microarray technology have the potential to individualize diagnosis and treatment of disease, as well as monitor efficacy of treatment regimens. To realize these...

The wide cause of death that occurs in the world is due to cancer and efficient tool diagnose microarray. essential step determine depends on selecting significant genes from dataset. This paper proposes a framework utilizing two levels selected for classifying leukemia cancer. An openly accessible microarray dataset comprising 7,129 72 patients employed this research. first level gene selectio...

Protein microarray is a powerful technology for both basic research and clinical study. However, because there is no database specifically tailored for protein microarray, the majority of the valuable original protein microarray data is still not publically accessible. To address this issue, we constructed Protein Microarray Database (PMD), which is specifically designed for archiving and analy...

diffuse large b-cell lymphoma is the most common type of non-hodgkin lymphoma. micrornas (mirnas) are endogenous small rna, which can regulate gene expression at the post-transcriptional level. mirna profiling has shown a great potential as novel diagnostic and prognostic biomarkers. the present study was performed at the nemazee teaching hospital (shiraz, iran) from 2011 to 2013.the aim of thi...

Microarrays are novel biotechnological technology that is being used widely in cancer research. By allowing the monitoring of expression levels in cells for thousands of genes simultaneously, microarray experiments may lead to a more complete understanding of cell’s function. This is due to the fact that the physiology of an organism is generally associated with changes in gene expression patte...

cDNA microarray is becoming a very popular tool in cancer research from target identification to molecular classification of tumors. A large number of differentially expressed genes have been identified in nearly all known cancers as a result of microarray technology, which allows us to measure the expression of thousands of genes simultaneously. The next step will be validation and functional ...

The diagnosis of cancer type based on microarray data offers hope that cancer classification can be highly accurate for clinicians to choose the most appropriate forms of treatment with it. Due to several inherent characteristics associated with microarray data, accurate diagnosis has been an active research topic attracting tremendous research interests in machine learning community. In this p...

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...

Biotechnological inventions during the 20th century have resulted in a wide range of approaches for explorations in the functional genomics field. Microarray technology is one of the recent advances which have provided us with snapshots of which genes are expressed in cells of various tissues and diseases. Methods to obtain reliable microarray data are continuously being developed and improved ...