The patterns identified from the systematically collected molecular profiles of patient tumor
samples, along with clinical metadata, can assist personalized treatments for effective …

Gram-negative bacteria such as Escherichia coli (E. coli) are assumed to be among the
main agents that cause severe mastitis disease with clinical signs in dairy cattle. Rapid …

Identifying disease–gene associations is a fundamental and critical biomedical task towards
understanding molecular mechanisms, the diagnosis and treatment of diseases. It is time …

Objective (s): The purpose of this study was to conduct a meta-analysis on human
microRNAs (miRNAs) expression data of endometriosis tissue profiles versus those of …

Many diseases have complex genetic causes, where a set of alleles can affect the
propensity of getting the disease. The identification of such disease genes is important to …

We begin by describing recent developments in the burgeoning discipline of applied
ontology, focusing especially on the ways ontologies are providing a means for the …

Background Biologists aim to understand the genetic background of diseases, metabolic
disorders or any other genetic condition. Microarrays are one of the main high-throughput …

Mastitis, an inflammatory response of mammary glands to invading bacteria, is one of the
most economically costly diseases affecting dairy animals. Escherichia coli can be …

Microarray cancer gene expression data comprise of very high dimensions. Reducing the
dimensions helps in improving the overall analysis and classification performance. We …

Healthcare sector has large amounts of data that require careful analysis in order to improve
the medical service offered to the patients. Semantic data mining can play an effective rule in …