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| Market Research Data |
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| Performed various statistical analysis on the market research data including multivariate regression, logistic regression, factor analysis, derived importance calculations, perceptual maps construction, MANOVA, scaling and reliability analysis, segmentation analysis. |
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| Scientific Instrumental Data |
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| Noisy data from the instrumental output such as LC-MS/GC-MS (chromatography), HTS (High Throughput Screening) etc. have been cleaned first using signal processing techniques and then the data has been converted into the form where the statistical procedures can be applied to arrive at the predictive models. The predictive models have been developed to identify the hidden patterns in the numerical data using multivariate and clustering techniques. |
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| Chemical And Biological Structure Activity Data |
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| Various multivariate analyses, clustering procedures have been carried out to study the relationship between the structural parameters such as partition coefficient, polar surface area etc. with the biological activity measured experimentally. Once the model has been predicted with the available data, it has been applied to the unknown set of molecules to predict the biological activity from the known structural parameters . |
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