These customized regulatory networks were initially Boolean-based, then evolved to Bayesian probability, dynamic ordinary differential equations and in recent years. These and other approaches have been reviewed elsewhere. An ANN network inference approach was chosen to model the interactions between sarcoma-related microarray genes for the SRBCTs dataset in this study. ANNs have been extensively used for biomarker identification and classification due to their ability to cope with complexity and nonlinearity within the biology datasets. These features enable ANNs to Chlorhexidine hydrochloride address a particular question by identifying and modeling patterns in the data. The underlying structure of the multilayer perceptron is a weighted, directed graph, interconnecting artificial neurons organized in layers with artificial synapses which carry a value, transmitting data from one node to the other nodes. All incoming signals from the input layer will be processed based upon a set of defined parameters by the nodes in the intermediate layer and an activation function is applied to the resulting sum. This sum is then used to determine the output result generated by the nodes in the output layer. Due to the connectionist computation in ANNs, the architecture of the ANN can be easily modified to address different questions and able to compose complex hypotheses that can explain a high degree of correlation between features without any prior information from the datasets. Hence, a backpropagation MLP was chosen as ANN to model the gene-gene interaction in this paper. This study hypothesized that the expression of a biomarker can be explained using the remaining biomarkers in the gene pool, if these biomarkers are able to explain one particular categorical outcome. Herein, we explored the influences of all biomarkers among Deferiprone themselves and provide a complete view of all of the possibilities of network interactions for all biomarkers. Therefore, the principle of the algorithm is to show the relationship between genes from the same pool, to shed light on how these molecules interact with each other and to identify new relationships between these molecules by iteratively calculating the influence that multiple variables may have upon a single one.