Drug repurposing aims to find new uses for existing drugs. One drug repurposing approach,
called" Connectivity Mapping," links transcriptomic profiles of drugs to profiles characterizing …

DNA microarray is used to study the expression levels of thousands of genes under various
conditions simultaneously. Unfortunately, microarray experiments can generate datasets …

Large scale stochastic optimization is at the core of machine learning and plays an important
role in solving optimization problems in bioinformatics. Most of the existing algorithms are …

DNA microarray experiments normally generate gene expression profiles in the form of high
dimensional matrices. It may happen that DNA microarray gene expression values contain …

Most of the gene expression data analysis algorithms require the entire gene expression
matrix without any missing values. Hence, it is necessary to devise methods which would …

The main research interest presented is large-scale stochastic optimization, which is at the
core of machine learning and data science. Most of the existing algorithms are based on …

DNA microarrays are normally used to measure the expression values of thousands of
several genes simultaneously in the form of large matrices. This raw gene expression data …

Background Imputation is one of the strategies for dealing with Missing values (MVs) in
microarray data. Employing the best subset of genes for imputation is very important. In this …

Most of the gene expression data analysis algorithms require the entire gene expression
matrix without any missing values. Hence, it is necessary to devise methods which would …