Protein Function Prediction Model Using Multilabel Classification Algorithm
E.Balraj1, S.Priyanka2, B.Preethi3
1E. Balraj, Assistant Professor, Department of Information Technology, M Kumarasamy College of Engineering, Karur, (TamilNadu), India.
2S. Priyanka, UG Student, Department of Information Technology, M Kumarasamy College of Engineering, Karur, (TamilNadu), India.
3B. Preethi, UG Student, Department of Information Technology, M Kumarasamy College of Engineering, Karur, (TamilNadu), India.
Manuscript received on 05 April 2019 | Revised Manuscript received on 14 April 2019 | Manuscript Published on 24 May 2019 | PP: 193-197 | Volume-8 Issue-6S3 April 2019 | Retrieval Number: F10380486S319/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open-access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The Ant Colony Optimization algorithm is helpful for predicting protein functions. It is the combination of novel concept about Optimization of Ant Colony algorithm and classification of hierarchical multi-label. This classification method is represented in hierarchical structures. In this methodology, each class has multiple class labels and these labels are defined in the form of Trees or Directed Acyclic Graph. This problem mainly focuses on the area of Bio-metrics. As there is a amount of increase which categories as uncharacterized proteins that can be available to perform prediction and analysis. It is necessary for resolving protein functions in order to which can be increase a trending biological intelligence. A protein can perform many functions and definition schemes. Those schemes are organized in structures based on the classifications of hierarchy. A common problem that arises when using a conventional flat classification approach is that it cannot predict for multiple class labels as it does only for a class label. This proposed Ant Colony Optimization(ACO) discovers the proper list for multiple class labels.
Keywords: Ant Colony Optimization, Multi Label Classification, Machine Learning, Protein Prediction, Bio-metric Analysis.
Scope of the Article: Classification