The increase in available data has attracted the interest in clustering approaches as a way
of coherently aggregating them and identify patterns in big data. Hence, Swarm Intelligence …

One of the most controversial and emerging applications of microarray-based cancer
research is the identification of the pathology that are canons and genetic pathway …

Big Data is impacting and changing the way we live, and its core lies in the use of machine
learning to extract valuable information from huge amounts of data. Optimization problems …

Particle swarm optimization and fuzzy logic have shown their fruits for many years across the
fields of science. Fuzzy logic acts as an intelligent layer to any conventional system …

This two-volume set (CCIS 905 and CCIS 906) constitutes the refereed proceedings of the
Second International Conference on Advances in Computing and Data Sciences, ICACDS …

The microRNAs and single-cell expression data embed relevant and unrelevant information
about the genes. Finding the hidden gene expression pattern helps us to understand the …

With the emergence of DNA microarray technology, scientists are continuously studying the
expression levels of a large number of genes over different instances of time points …

Classification of DNA micro-array has been a popular approach of disease detection.
Various fatal diseases such as cancer (colon, lungs, breast, and other parts) and tumor …

Invention of microarray DNA technology has paved the way of clustering gene expression
data. It helps to examine and study different gene expression patterns at other instances of …

Data mining is a new powerful technology for extracting hidden predictive information from
large databases. Considering severity of diseases like cancer, a systematic approach for …