Displaying similar documents to “Towards prediction of HCV therapy efficiency.”

Analysis of survey data investigating the malarial endemicity of a mixed tribal population of Bihar, India.

T. K. Basu, S. Ganguly, B. K. Sarkar, Raghunath Arnab (1998)

Qüestiió

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A section of the mixed tribal population of the Singhbhum district, Bihar, India, is declared malaria epidemic zone. The tribal population of several generations is known to be suffering from malaria. A survey based on cross-sectional data analysis, was conducted on the mixed tribal population for one month. The purpose of this study was to investigate the health status using collected blood samples. The main focus is on the comparative roles of the defense mechanism and vitality factor...

Selecting differentially expressed genes for colon tumor classification

Krzysztof Fujarewicz, Małgorzata Wiench (2003)

International Journal of Applied Mathematics and Computer Science

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DNA microarrays provide a new technique of measuring gene expression, which has attracted a lot of research interest in recent years. It was suggested that gene expression data from microarrays (biochips) can be employed in many biomedical areas, e.g., in cancer classification. Although several, new and existing, methods of classification were tested, a selection of proper (optimal) set of genes, the expressions of which can serve during classification, is still an open problem. Recently...

Thermodynamics of DNA microarrays

Enrico Carlon (2008)

Banach Center Publications

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DNA microarrays have been widely used in molecular biology laboratories. The main current application of these devices is the determination of the gene expression level for thousands of genes simultaneously. Here we review a recently introduced physical model for hybridization (i.e. the binding of complementary DNA strands) in Affymetrix arrays and compare it to experimental results. The experimental data follow rather well the microscopic model and the approach offers several advantages...

A selection modelling approach to analysing missing data of liver Cirrhosis patients

Dilip C. Nath, Ramesh K. Vishwakarma, Atanu Bhattacharjee (2016)

Biometrical Letters

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Methods for dealing with missing data in clinical trials have received increased attention from the regulators and practitioners in the pharmaceutical industry over the last few years. Consideration of missing data in a study is important as they can lead to substantial biases and have an impact on overall statistical power. This problem may be caused by patients dropping before completion of the study. The new guidelines of the International Conference on Harmonization place great emphasis...