BACKGROUND Inferring Gene Regulatory Networks (GRNs) from time course microarray data suffers from the dimensionality problem created by the short length of available time series compared to the large number of genes in the network. To overcome this, data integration from diverse sources is mandatory. Microarray data from different sources and platforms are publicly available, but integration i...

Background: According to major public repositories statistics an overwhelming majority of the existing and newly uploaded data originates from microarray experiments. Unfortunately, the potential of this data to bring new insights is limited by the effects of individual study-specific biases due to small number of biological samples. Increasing sample size by direct microarray data integration ...

Technological advances in high-throughput techniques and efficient data gathering methods, coupled computational biology efforts, have resulted in a vast amount of life science data often available in distributed and heterogeneous repositories. These repositories contain information such as sequence and structure data, annotations for biological data, results of complex computations, genetic se...

Although most genes in human DNA have been sequenced, the functional relationships between the genes are not fully understood. The problem with obtaining information about which genes are linked to a specific type of cancer and how these genes are interrelated is an important topic. With the development of DNA microarray and other biological devices, expression levels of thousands of genes can ...

The cancer classification problem is one of the most challenging problems in bioinformatics. The data provided by Netherland Cancer Institute consists of 295 breast cancer patient; 101 patients are with distant metastases and 194 patients are without distant metastases. Combination of features sets based on kernel method to classify the patient who are with or without distant metastases will be...

ticals, e-commerce comparison sites and cyber intelligence. Schema matching lifts data integration—traditionally focused on well-structured data—to highly. Comparative Evaluation of Microarray-based Gene Expression Databases. BTW 2003: 482-501 Erhard Rahm: Comparison of Schema Matching Evaluations. will raise the bar for empirical evaluation and comparison of data integration Integration tasks ...

Microarray technology is a new and powerful tool for concurrent monitoring of large number of genes expressions. Each microarray experiment produces hundreds of images. Each digital image requires a large storage space. Hence, real-time processing of these images and transmission of them necessitates efficient and custom-made lossless compression schemes. In this paper, we offer a new archi...