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Recurrent Neural Network Based Modeling of Gene Regulatory Network Using Bat Algorithm
[article]
2017
arXiv
pre-print
Correct inference of genetic regulations inside a cell is one of the greatest challenges in post genomic era for the biologist and researchers. Several intelligent techniques and models were already proposed to identify the regulatory relations among genes from the biological database like time series microarray data. Recurrent Neural Network (RNN) is one of the most popular and simple approach to model the dynamics as well as to infer correct dependencies among genes. In this paper, Bat
arXiv:1509.03221v2
fatcat:mtb563z3onabffvqzs4mvhs3xi