Classification of Microarray Gene Expression Data Using an Infiltration Tactics Optimization (ITO) Algorithm.

ABSTRACT: A number of different feature selection and classification techniques have been proposed in literature including parameter-free and parameter-based algorithms. The former are quick but may result in local maxima while the latter use dataset-specific parameter-tuning for higher accuracy. However, higher accuracy may not necessarily mean higher reliability of the model. Thus, generalized optimization is still a challenge open for further research. This paper presents a warzone inspired "infiltration tactics" based optimization algorithm (ITO)-not to be confused with the ITO algorithm based on the Itõ Process in the field of Stochastic calculus. The proposed ITO algorithm combines parameter-free and parameter-based classifiers to produce a high-accuracy-high-reliability (HAHR) binary classifi

SUBMITTER: Zahoor J 

PROVIDER: S-EPMC7397166 | biostudies-literature | 2020 Jul

REPOSITORIES: biostudies-literature