CHALLENGES IN CANCER CLASSIFICATION
Journal Title: International Journal of Engineering Sciences & Research Technology - Year 2015, Vol 4, Issue 4
Abstract
Classification problem has been extensively studied by researchers in the area of statistics, machine learning and databases. Many classification algorithms have been proposed in the past, such as the decision tree methods, the linear discrimination analysis, the bayesian network, etc. For the last few years, researchers have started paying attention to the cancer classification using gene expression. Studies have shown that gene expression changes are related with different types of cancers. Most proposed cancer classification methods are from the statistical and machine learning area, ranging from the old nearest neighbor analysis, to the new support vector machines. There is no single classifier that is superior over the rest. Some of the methods only works well on binary-class problems and not extensible to multi-class problems, while others are more general and flexible. One thing to note for most of those proposed algorithms on gene classification is that the authors are only concerned with the accuracy of the classification and did not pay much attention to the running time(in fact, most gene classifier proposed are quite computationally expensive). Recently, the neural network has become a popular tool in the classification of Cancer Dataset. This is particularly due to its ability to represent the behavior of linear or nonlinear functions multidimensional and complex.
Authors and Affiliations
Mr. S. Senthil Kumar, Mr. M. Suresh Kumar, Mrs. S. Kalai Selvi
Keywords
Related Articles
- EP ID EP153164
- DOI -
- Views 75
- Downloads 0
PERFORMANCE ANALYSIS OF MAXIMUM POWER POINT TRACKING (MPPT)ALGORITHM FOR A SINGLE-PHASE FIVE-LEVEL PWM INVERTER CONNECTED PV SYSTEM
This paper attempts an in-depth analysis of maximum power point tracking (MPPT) algorithm for a single-phase five-level PWM inverter connected PV system. The MPPT technique considered in proposed work is Perturb &...
EQUILIBRIUM AND KINETIC STUDIES OF BIOSORPTION OF REACTIVEORANGE 13 FROM AQUEOUS SOLUTION BY DEAD BIOMASS OF RHIZOPUSARRHIZUS
The equilibrium and kinetics of the biosorption of Reactive Orange 13from aqueous solution were investigatedusing dead biomass of Rhizopus arrhizus in a batch system. Biosorption equilibrium was established in abou...
A SURVEY OF SEMI-SUPERVISED LEARNING
Semi Supervised Learning involves using both labeled and unlabeled data to train a classifier or for clustering. Semi supervised learning finds usage in many applications, since labeled data can be hard to fin...
STUDY & ANALYSIS OF EDUCATION USING BIG DATA ANALYTICS AND TECHNIQUES
As the data goes on increases, the demand and requirement is also increases. If the past is being considered than we will see first our aim is to collect the data using computers, taps and disk and then we access...
Modelling and Construction of Acoagulation/Flocculation Tank for NDA Permanent Site
A Flocculation system for water treatment facilities comprises of a flocculation tank having a plurality of baffle which divide the interior of the flocculation tank into a plurality of components. The baffle are...