There is much excitement among biologists and statisticians regarding new high-dimension data sets that have arisen from the application of microarray technology. In statistics, there has been a flurry of activity surrounding the development of new methods for the analysis of such data, and biologists are eager to extract as much information as possible from their substantial investments in mic...

A microarray analysis of 14 900 genes of the malaria vector mosquito, Anopheles gambiae, shows that as many as 33% (4924) of their corresponding transcription products vary in abundance within 24 h after a blood meal. Approximately half (2388) of these products increase in their accumulation and the remainder (2536) decrease. Expression dynamics of 80% of the genes analysed by expressed sequenc...

The increasing application of microarray technology is generating large amounts of high dimensional gene expression data. Genes participating in the same biological process tend to have similar expression patterns, and clustering is one of the most useful and efficient methods for identifying these patterns. Due to the complexity of microarray profiles, there are some limitations in directly ap...

Microarrays are becoming a ubiquitous tool of research in life sciences. However, the working principles of microarray-based methodologies are often misunderstood or apparently ignored by the researchers who actually perform and interpret experiments. This in turn seems to lead to a common over-expectation regarding the explanatory and/or knowledge-generating power of microarray analyses. In th...

*Department of Computer Science and Engineering, Indian Institute of Technology, DeLhi, New Delhi 110016, India. Work done while visiting Unlversit~/t Ulm. Supported in part by an Alexander von Humboldt postdoctoral research fellowship. IDepartment of Computer Science, University of Rochester, Rochester, NY 14627, USA. Supported in part by the National Science Foundation under research grant CC...

MOTIVATION Spot segmentation is a critical step in microarray gene expression data analysis. Therefore, the performance of segmentation may substantially affect the results of subsequent stages of the analysis, such as the detection of differentially expressed genes. Several methods have been developed to segment microarray spots from the surrounding background. In this study, we have proposed ...

Building biological understanding of the Chinese Hamster Ovary (CHO) system used to manufacture therapeutic proteins is paramount to efficient CHO bioprocess optimization. This understanding can be built by analyzing and synthesizing biological data; such as transcriptomic (gene expression), proteomic (protein levels), or metabolomic (metabolite levels). This thesis describes a streamlined work...

Statistical methods for analyzing data from DNA microarray experiments are reviewed. Specifically, we discuss common experimental setups, methods for data reduction and clustering, and analysis of time-course experiments. While early microarray studies focused mainly on the basic methodological and technical aspects of DNA arrays, emphasis has shifted to biological, medical, and clinical applic...

mRNA Expression Microarray technology is widely applied in biomedical and pharmaceutical research. The huge number of mRNA concentrations estimated for each sample make it difficult to apply traditional sample size calculation techniques and has left most practitioners to rely on rule-of-thumb techniques. In this paper, we briefly describe and then demonstrate a simple method for performing and...