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Cyril Raj, V.
- Accurate and Stable Feature Selection Powered by Iterative Backward Selection and Cumulative Ranking Score of Features
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Authors
Affiliations
1 Department of Computer Science and Engineering, Dr. M.G.R Educational and Research Institute University, Chennai-600095, Tamil Nadu, IN
2 Engineering and Technology, Dr. M.G.R Educational and Research Institute University, Chennai-600095, Tamil Nadu, IN
1 Department of Computer Science and Engineering, Dr. M.G.R Educational and Research Institute University, Chennai-600095, Tamil Nadu, IN
2 Engineering and Technology, Dr. M.G.R Educational and Research Institute University, Chennai-600095, Tamil Nadu, IN
Source
Indian Journal of Science and Technology, Vol 8, No 11 (2015), Pagination:Abstract
This paper focuses on a stable feature selection framework using Cross Validation technique and SVM-RFE. Though SVMRFE has outperformed many of its counterparts in feature subset selection for accurate cancer classification, its greediness in selecting optimal feature subset affect the stability of selection process in successive runs that brings down the confidence on the selected features. In this paper, we propose an iterative backward feature selection method using SVMRFE motivated by cross-validation technique. Cumulative Ranking Score (CRS) is a parameter formulated to determine the class discrimination ability of each feature. The proposed method is applied on the publically available breast cancer dataset and found top 10 highly discriminative genes. Later the SVM classifier is trained using the top 10 genes identified by the proposed method and the original SVM-RFE separately and tested. It is proved that the proposed method has improved the classification accuracy significantly compared to the original SVM-RFE.Keywords
Stable Feature Selection; Gene Expression Profile; Cross Validation; Backward Selection Method- A Novel Technique for Analysis of Protein to Protein Interaction using EfficientMinimum Spanning Tree Techniques
Abstract Views :148 |
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Authors
Affiliations
1 Department of Computer Science Engineering, Dr. M.G.R. Educational and Research Institute University, Chennai - 600095, Tamil Nadu, IN
1 Department of Computer Science Engineering, Dr. M.G.R. Educational and Research Institute University, Chennai - 600095, Tamil Nadu, IN
Source
Indian Journal of Science and Technology, Vol 9, No 41 (2016), Pagination:Abstract
In this research article, the network concepts are proving extensive study of gene function, Protein–Protein Interaction and biochemical communication pathway. Method/Analysis: The understanding of huge-size protein network data is depending on skill to identify significant cluster in its data sets, which is a computationally precise task. This brings a new scope to carry out research work which helps for determining new paths in graph and assist to solve the problem for identifying pathways in protein interaction networks. Findings: This idea breaks through to implement new technique called efficient spanning tree algorithm for finding an efficient pathway with in networks under numerous biologically motivated constraints. This method helps to hunt for protein pathways over Protein-Protein Interaction network. Application/Improvements: The analysis results confirmed that the proposed algorithm is capable of restructuring the signal pathways and to identify well qualified paths in an unsupervised method.Keywords
Algorithm, Cluster, E-MST, Protein.- Exposing Image Manipulation with Curved Surface Reflection
Abstract Views :230 |
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Authors
R. Cristin
1,
V. Cyril Raj
2
Affiliations
1 Department of CSE, St. Peter’s University, Chennai - 600054, Tamil Nadu, IN
2 Dr. M.G.R University, Chennai - 600032, Tamil Nadu, IN
1 Department of CSE, St. Peter’s University, Chennai - 600054, Tamil Nadu, IN
2 Dr. M.G.R University, Chennai - 600032, Tamil Nadu, IN