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Articles by A. Natarajan
Total Records ( 3 ) for A. Natarajan
  A. Natarajan and T. Ravi
  Gene selection is very important in classification of cancer using parallel computing in the analysis of gene expression relationship. The high performance parallel computing is used for gene expression analysis and finding the thousands of genes simultaneously. DNA microarrays are used to measure the expression levels of thousands of genes simultaneously. The classification and validation of molecular biomarkers for cancer diagnosis is an important problem in cancer genomics. The microarray data analysis is very much important to extract biologically useful data from the huge amount of expression data to know the current state of the cell. Most cellular processes are regulated by changes in gene expression. This is a great challenge for computational biologists who see in this new technology the opportunity to discover interactions between genes. In this study, we propose a Cooperative Parallel Multi-Objective Genetic algorithm for Gene Feature Selection. We have implemented CPMGA for gene feature selection to classify the breast cancer data sets. More importantly, the method can exhibit the inherent classification difficulty with respect to different gene expression datasets, indicating the inherent biology of specific cancers.
  A. Natarajan , S. M. Marshall , P. J. Kesteven , J. M. McComb and M. K. Rutter
  Aims  To estimate the coronary heart disease and cardiovascular disease risk associated with novel biomarkers in Type 2 diabetes mellitus.

Methods  We measured baseline peripheral blood concentrations of soluble E-selectin, factor XIIa, thrombin-antithrombin III complex and plasminogen activator inhibitor-1 in 86 patients with Type 2 diabetes free of known coronary heart disease. We used Cox proportional hazard models to estimate multivariable-adjusted hazard ratios associated with biomarker levels for 10-year coronary heart disease risk (n = 33 events) or total cardiovascular disease risk (n = 45 events).

Results  At baseline, mean (sd) age was 62 years (7 years); 62 were men; and 43 had microalbuminuria. Soluble E-selectin demonstrated cross-sectional relationships with glucose and factor XIIa was related to plasminogen activator inhibitor-1 and triglycerides (all P < 0.05). Baseline log soluble E-selectin was significantly related to incident coronary heart disease and cardiovascular disease. Hazard ratios (95% CIs) associated with a 1-unit increase in log soluble E-selectin in age- and sex-adjusted models were: coronary heart disease : 4.6 (95% CI 1.9-11.3), P = 0.001; cardiovascular disease: 3.6 (95% CI 1.7-7.4, P = 0.001); and in multivariable-adjusted models were: coronary heart disease: 2.9 (95% CI 1.2-7.1, P = 0.02); cardiovascular disease: 2.3 (95% CI 1.1-4.8), P = 0.02. Factor XIIa was significantly related to incident cardiovascular disease. The hazard ratios associated with a 1-unit increase in factor XIIa in age- and sex-adjusted models was 1.5 (95% CI 1.1-1.9, P = 0.003) and in a multivariable-adjusted model was 1.3 (95% CI 1.0-1.6, P = 0.047). Plasminogen activator inhibitor-1 and thrombin-antithrombin III complex were not related to cardiovascular disease events.

Conclusions  In our study, soluble E-selectin and factor XIIa were significantly related to 10-year incident macrovascular events in patients with Type 2 diabetes. These preliminary findings call for replication in larger studies.

  A. Natarajan and K.L. Muthuramu
  The present day world is witnessing the construction of very challenging and difficult Civil Engineering structures. Quite often, concrete being the most important and widely used material is called upon to possess very high strength and sufficient work ability properties. Efforts are being made in the field of concrete technology to develop such concretes with special characteristics. Researchers all over the world are attempting to develop high performance concretes by using fibers and other admixtures in concrete up to certain proportions. In the view of the global sustainable developments, it is imperative that fibers like glass, carbon, polypropylene and aramid fibers provide improvements in tensile strength, fatigue characteristics, durability, shrinkage characteristics, impact, cavitations, erosion resistance and serviceability of concrete. In this present experimental investigation is study the mechanical properties of anti crack W70 AR Glass fibre with the ratio of (0.1-0.8%) by volume of fraction and compares the strength results of 7 and 28 days. Many methods have recommended for mix proportioning of concrete all over the world. Among those methods, ACI Method was selected for the project.
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