A survey of gene selection and classification techniques based on cancer microarray data analysis
X Zhang, T He, L Ouyang, X Xu… - 2018 IEEE 4th …, 2018 - ieeexplore.ieee.org
A growing number of cancer deaths draws attractions in the areas of bioinformatics
worldwide. It is worth noting that cancer microarray data is composed of tens of thousands of …
worldwide. It is worth noting that cancer microarray data is composed of tens of thousands of …
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 survey on gene selection for microarray cancer classification based on soft computing techniques
SD Bharathi, S Sudha - 2018 International Conference on …, 2018 - ieeexplore.ieee.org
Recent developments in the field of soft computing have affected a large number of research
works of data mining in a positive way. Processing and analysis of large data become an …
works of data mining in a positive way. Processing and analysis of large data become an …
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 …
Hybrid approach for gene selection and classification using filter and genetic algorithm
The explosion of DNA microarray dataset in the scientific repository has been encouraging
interdisciplinary research on ecology, computer science, and bioinformatics. The DNA …
interdisciplinary research on ecology, computer science, and bioinformatics. The DNA …
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 …
Statistical discrimination of breast cancer microarray data
Recently published literatures indicate that, a consistent and precise classification system of
microarray data is very essential for the successful identification of genes responsible for a …
microarray data is very essential for the successful identification of genes responsible for a …
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 …
Microarray Data Analysis for Diagnosis of Cancer Diseases by Machine Learning algorithm
S Begum, S Samanta, S Ahmed… - 2023 5th International …, 2023 - ieeexplore.ieee.org
DNA microarrays can simultaneously measure the expression level of thousands of gene
within a particular mRNA sample that provide information about the state of cells and …
within a particular mRNA sample that provide information about the state of cells and …
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 …