Obstructive sleep apnea (OSA) is a complex and heterogeneous disorder and the apnea
hypopnea index alone can not capture the diverse spectrum of the condition. Enhanced …

In almost every scientific field, measurements are performed over time. These observations
lead to a collection of organized data called time series. The purpose of time-series data …

To demonstrate the benefits of RNA-Seq over microarray in transcriptome profiling, both
RNA-Seq and microarray analyses were performed on RNA samples from a human T cell …

As a new concept that emerged in the middle of 1990's, data mining can help researchers
gain both novel and deep insights and can facilitate unprecedented understanding of large …

Gene expression data hide vital information required to understand the biological process
that takes place in a particular organism in relation to its environment. Deciphering the …

Identifying groups of similar objects is a popular first step in biomedical data analysis, but it
is error-prone and impossible to perform manually. Many computational methods have been …

Background The use of clustering methods for the discovery of cancer subtypes has drawn a
great deal of attention in the scientific community. While bioinformaticians have proposed …

Identifying co-expressed gene clusters can provide evidence for genetic or physical
interactions. Thus, co-expression clustering is a routine step in large-scale analyses of gene …

Abstract Machine learning is driving development across many fields in science and
engineering. A simple and efficient programming language could accelerate applications of …

Introduction: The advent of high throughput technologies capable of comprehensive
analysis of genes, transcripts, proteins and other significant biological molecules has …