Machine learning is used in a large number of bioinformatics applications and studies. The
application of machine learning techniques in other areas such as pattern recognition has …

Hybrids between closely related species are often sterile or inviable as a consequence of
failed interactions between alleles from the different species. Most genetic studies have …

Motivation: Spotted arrays are often printed with probes in duplicate or triplicate, but current
methods for assessing differential expression are not able to make full use of the resulting …

Background MicroRNAs (miRNAs) in circulation have emerged as promising biomarkers. In
this study, we aimed to identify a circulating miRNA signature for osteoarthritis (OA) patients …

Suitable for advanced undergraduates and postgraduates, Understanding Bioinformatics
provides a definitive guide to this vibrant and evolving discipline. The book takes a …

Motivation: Batch effects are due to probe-specific systematic variation between groups of
samples (batches) resulting from experimental features that are not of biological interest …

This is the first book primarily dedicated to clustering using multiobjective genetic algorithms
with extensive real-life applications in data mining and bioinformatics. The authors first offer …

Several milestones in biology have been achieved since the first publication of the
Handbook of Molecular and Cellular Methods in Biology and Medicine. This is true …

The success of treatment of patients with cancer depends on establishing an accurate
diagnosis. To this end, we have built a system called GEMS (gene expression model …

We have compared the gene expression profiles of inflorescences of the floral homeotic
mutants apetala1, apetala2, apetala3, pistillata, and agamous with that of wild-type plants …