2020

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Browsing 2020 by Author "Mahreen Zainab"

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    Itransaminase- pseaac
    (UMT Lahore, 2020) Mahreen Zainab
    The major focus of this thesis is to identification of transaminase and non-transaminase through dataset of 3077 positive and 2500 negative sequences which was collected from uniport. We review new spectrophotometric determination methods to determine the transaminase activity. The main diseases which were diagnosis through transaminase levels in bloodstream are liver and heart it is very important to diagnose them in preliminary stage for better treatment. In present scenario to detect infection of liver devise like sensors were used or blood sampling in laboratory. In this context, this research utilizes neural network approaches for classification of the diseases due to transaminase in patients. We majorly discuss algorithm (SVM) and their results for the identification of transaminase and non-transaminase. Further to improve the accuracy of identification a new model was developed i-transaminase using Random forest Algorithm. This model was tested for its performance using feature extraction components like Statistical Moments Calculation, PRIM, RPRIM, AAPIV and RAAPIV. The new model resulted in prediction accuracy of 99.9% using testing like self-consistency, jackknife, cross validation. The accuracies for above mention testing is 99.9%, 99.93% and 99.87. The results ensure that development of this model improved the accuracy of identification. To serve the medicine community for identification of transaminase in liver and heart patients, a user interface also developed using Python. This GUI is deployed as a package in local repository or also on webserver.