Feature selection techniques have become an apparent need in many bioinformatics
applications. In addition to the large pool of techniques that have already been developed in …

Support Vector Machines (SVMs) are a new generation of classification method. Derived
from well principled Statistical Learning theory, this method attempts to produce boundaries …

With the proliferation of extremely high-dimensional data, feature selection algorithms have
become indispensable components of the learning process. Strangely, despite extensive …

Background Mass spectrometry is one of the most important techniques in the field of
proteomics. MALDI-TOF mass spectrometry has become popular during the last decade due …

Among the many applications of mass spectrometry, biomarker pattern discovery from
protein mass spectra has aroused considerable interest in the past few years. While …

Conventional clinical decision support systems are generally based on a single classifier or
a simple combination of these models, showing moderate performance. In this paper, we …

The discovery of new highly sensitive and specific biomarkers for early disease detection
and risk stratification coupled with the development of personalized “designer” therapies …

Background: The diagnosis of diseases leading to brain injury, such as stroke, Alzheimer
disease, and Parkinson disease, can often be problematic. In this study, we pursued the …

Early diagnosis and immediate therapeutic interventions are crucial factors to reduce the
damage extent and the risk of death. Currently, the diagnosis of stroke relies on neurological …

Acute stroke is now a treatable condition that deserves urgent specialist attention. Drug
treatment and specialist care both influence survival and recovery. This article considers the …