Lung cancer is one of the leading causes of death worldwide. There are three major types of
lung cancers, non-small cell lung cancer (NSCLC), small cell lung cancer (SCLC) and …

Protein function and dynamics are closely related to its sequence and structure. However,
prediction of protein function and dynamics from its sequence and structure is still a …

Screening and in silico modeling are critical activities for the reduction of experimental costs.
They also speed up research notably and strengthen the theoretical framework, thus …

Cancer is a highly heterogeneous disease caused by dysregulation in different cell types
and tissues. However, different cancers may share common mechanisms. It is critical to …

Abstract Information on the subcellular localization of bacterial proteins is essential for
protein function prediction, genome annotation and drug design. Here we proposed a novel …

Several magnetic resonance techniques have been proposed as non-invasive imaging
biomarkers for the evaluation of disease progression and early diagnosis of Alzheimer's …

The interpretation of the results in a classification problem can be enhanced, specially in
image texture analysis problems, by feature selection techniques, knowing which features …

Recently, machine learning techniques have been widely applied in discriminative studies
of schizophrenia (SZ) patients with multimodal magnetic resonance imaging (MRI); however …

Due to the importance of hot-spots (HS) detection and the efficiency of computational
methodologies, several HS detecting approaches have been developed. The current paper …

Background Identification of the recombination hot/cold spots is critical for understanding the
mechanism of recombination as well as the genome evolution process. However …