A study on Feature Selection Techniques in Bio-Informatics
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2011, Vol 2, Issue 1
Abstract
The availability of massive amounts of experimental data based on genome-wide studies has given impetus in recent years to a large effort in developing mathematical, statistical and computational techniques to infer biological models from data. In many bioinformatics problems the number of features is significantly larger than the number of samples (high feature to sample ratio datasets) and feature selection techniques have become an apparent need in many bioinformatics applications. This article provides the reader aware of the possibilities of feature selection, providing a basic taxonomy of feature selection techniques, discussing its uses, common and upcoming bioinformatics applications.
Authors and Affiliations
S. Nirmala Devi, S. P. Rajagopalan
Keywords
Related Articles
- EP ID EP129415
- DOI -
- Views 54
- Downloads 0
University ERP Preparation Analysis: A PPU Case Study
The Enterprise Resources Planning (ERP) systems are one of the most frequently used systems by business organizations. Recently, the university sectors began using the ERP system in order to increase the quality of their...
Method for Designing Scalable Microservice-based Application Systematically: A Case Study
Microservice is a new transformation of Service-Oriented Architecture (SOA) which is gaining momentum in both academic and industry. The success of microservice began when giant companies like Netflix used them as a serv...
Pattern Discovery Using Association Rules
The explosive growth of Internet has given rise to many websites which maintain large amount of user information. To utilize this information, identifying usage pattern of users is very important. Web usage mining...
A Generic Framework for Automated Quality Assurance of Software Models –Implementation of an Abstract Syntax Tree
Abstract Syntax Tree’s (AST) are used in language tools, such as compilers, language translators and transformers as well as analysers; to remove syntax and are therefore an ideal construct for a language independent too...
A Strategy for Training Set Selection in Text Classification Problems
An issue in text classification problems involves the choice of good samples on which to train the classifier. Training sets that properly represent the characteristics of each class have a better chance of establishing...