The rapid advance of computer based high-throughput technique have provided
unparalleled opportunities for humans to expand capabilities in production, services …

We enhance the support vector machine recursive feature elimination (SVM-RFE) method
for gene selection by incorporating a minimum-redundancy maximum-relevancy (MRMR) …

In rotating machinery one of the prominent causes of malfunction is faults generated in ball
bearings, therefore, diagnosis and interpretation of these faults is essential before they …

DNA-binding proteins (DNABPs) are important for various cellular processes, such as
transcriptional regulation, recombination, replication, repair, and DNA modification. So far …

Background With DNA microarray data, selecting a compact subset of discriminative genes
from thousands of genes is a critical step for accurate classification of phenotypes for, eg …

Background Even though the classification of cancer tissue samples based on gene
expression data has advanced considerably in recent years, it faces great challenges to …

Background Poor oral bioavailability is an important parameter accounting for the failure of
the drug candidates. Approximately, 50% of develo** drugs fail because of unfavorable …

Analysis of antibody responses to self-antigens has driven the development of the field of
tumor immunology, with the identification of many protein targets found in cancer but with …

Multiclass cancer classification on microarray data has provided the feasibility of cancer
diagnosis across all of the common malignancies in parallel. Using multiclass cancer feature …

Social networks like Facebook contain an enormous amount of data, called Big Data.
Extracting valuable information and trends from these data allows a better understanding …