ANN modeling of DNA sequences: new strategies using DNA shape code

Two new encoding strategies, namely, wedge and twist codes, which are based on the DNA helical parameters, are introduced to represent DNA sequences i n artificial neural network (ANN)-based modeling of biological systems. The performance of the new coding strategies has been evaluated by conducting three case studies involving mapping (modeling) and classification applicat ions of ANNs. The proposed coding schemes have been compared rigorously and shown to outperform the existing coding strategies especially in situation s wherein limited data are available for building the ANN models. (C) 2000 Elsevier Science Ltd. All rights reserved.