Abstract
The Boltzmann machine model for identification of some possible genes mediating different disease has been reported in this paper. The procedure involves grouping of gene-based correlation coefficient using gene expression data sets. The usefulness of the procedure has been demonstrated using human leukemia gene expression data set. The vying of the procedure has been established using three existing gene selection methods like Significance Analysis of Microarray (SAM), Support Vector Machine (SVM), and Signal-to-Noise Ratio (SNR). We have performed biochemical pathway, p-value, t-test, sensitivity, expression profile plots for identifying biological and statistically pertinent gene sets. In this procedure, we have found more number of true positive genes compared to other existing methods.
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Sheet, S., Ghosh, A., Mandal, S.B. (2018). Selection of Genes Mediating Human Leukemia, Using Boltzmann Machine. In: Choudhary, R., Mandal, J., Bhattacharyya, D. (eds) Advanced Computing and Communication Technologies. Advances in Intelligent Systems and Computing, vol 562. Springer, Singapore. https://doi.org/10.1007/978-981-10-4603-2_9
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DOI: https://doi.org/10.1007/978-981-10-4603-2_9
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