Feature selection and classification in gene expression cancer data
D Pavithra, B Lakshmanan - 2017 International Conference on …, 2017 - ieeexplore.ieee.org
Gene Expression data comprising more number genes and samples are used for cancer
classification. Gene Expression information provides the gene expression level contributing …
classification. Gene Expression information provides the gene expression level contributing …
A combined clustering and ranking based gene selection algorithm for microarray data classification
Biological information related to cancer patients are recorded as microarray data. Data
mining plays important role in gene selection and classification of microarray data. The …
mining plays important role in gene selection and classification of microarray data. The …
A comparative study of gene selection methods for cancer classification using microarray data
M Babu, K Sarkar - 2016 Second International Conference on …, 2016 - ieeexplore.ieee.org
Due to the high dimensionality of gene expression data, gene selection is an important step
for improving gene expression data classification performance. This is true for the case of …
for improving gene expression data classification performance. This is true for the case of …
A comparative analysis of feature selection algorithms on classification of gene microarray dataset
J Jeyachidra, M Punithavalli - 2013 International Conference …, 2013 - ieeexplore.ieee.org
Analysis of gene expression is important in many fields of biological research in order to
retrieve the required information. As the time advances, the illness in general and cancer in …
retrieve the required information. As the time advances, the illness in general and cancer in …
Cancer classification of gene expression data using machine learning models
The World Cancer Report described cancer as a global problem because it affects the whole
greater population. It was projected by that cancer incidence will increase to 20 million new …
greater population. It was projected by that cancer incidence will increase to 20 million new …
Gene selection using interaction information for microarray-based cancer classification
S Nakariyakul - 2016 IEEE Conference on Computational …, 2016 - ieeexplore.ieee.org
Gene selection is an important pre-processing step in microarray analysis and classification.
While traditional gene selection algorithms focus on identifying relevant and irredundant …
While traditional gene selection algorithms focus on identifying relevant and irredundant …
Classification of cancer gene expressions from micro-array analysis
ET Venkatesh, P Tangaraj… - … Conference on Innovative …, 2010 - ieeexplore.ieee.org
The role of micro array expression data in cancer diagnosis is very significant. Mining for
useful information from such micro array data consisting of thousands of genes and a small …
useful information from such micro array data consisting of thousands of genes and a small …
A comparative study of cancer classification methods using microarray gene expression profile
H Alshamlan, G Badr, Y Alohali - … of the first international conference on …, 2014 - Springer
Microarray based gene expression profiling has been emerged as an efficient technique for
cancer classification, as well as for diagnosis, prognosis, and treatment purposes. The …
cancer classification, as well as for diagnosis, prognosis, and treatment purposes. The …
A novel gene selection algorithm for cancer identification based on random forest and particle swarm optimization
In order to achieve informative gene from thousands of candidate genes contributing to the
symptom of cancer, two novel gene selection approaches for classification of multiclass …
symptom of cancer, two novel gene selection approaches for classification of multiclass …
Feature selection for cancer classification on microarray expression data
HH Hsu, MD Lu - 2008 Eighth International Conference on …, 2008 - ieeexplore.ieee.org
Microarray is an important tool in gene analysis research. It can help identify genes that
might cause various cancers. In this paper, we use feature selection methods and the …
might cause various cancers. In this paper, we use feature selection methods and the …