In this article, we propose a novel type-2 fuzzy multigranulation-based SVM model for gene
expression pattern classification on human breast cancer dataset. Firstly, a type-2 fuzzy …

Background and objective Proteins are indispensable for the flow of the life of living
organisms. Protein pairs in interaction exhibit more functional activities than individuals …

Proteins are played key roles in different functionalities in our daily life. All functional roles of
a protein are a bit enhanced in interaction compared to individuals. Identification of essential …

Microarray gene expression data sets are huge in number. Hence, we have devised a
procedure to optimize and simplify such multi-dimensional data to represent it in lower …

Background Colorectal cancer (CRC) is the third most common cancer worldwide and one
of the leading causes of cancer-related death. Peptidomics, considered a novel branch of …

Mining association rules is an important technique in data analysis. Many approaches for
rule analysis have been designed to address different problems. Among them, some works …

In this work, we form stacked denoising auto encoder model which is recognized few
feasible genes mediating human lung adenocarcinoma. At first we have trained the data for …

AbstractAccording to the World Health Organization (WHO), lung cancer is the primary
cause of cancer-related deaths worldwide and is known to have the highest mortality rate …

The selection of gene identifier from microarray databases is a challenging task since
microarray contains large number of gene attributes for a few samples. This article proposes …

Recent progressions in the field of clustering have by this time led to the emergence of
fuzzification systems for different medical applications. Furthermore, in the last few decades …