Accurate classification of high-dimensional biomedical data highly depends on the efficient
recognition of the data's main features which can be used to assist diagnose related …

Cancer proteomics has become a powerful technique for characterizing the protein markers
driving transformation of malignancy, tracing proteome variation triggered by therapeutics …

Mass spectrometry technology can realize dynamic detection of many complex matrix
samples in a simple, rapid, compassionate, precise, and high-throughput manner and has …

Microbial community (MC) has great impact on mediating complex disease indications,
biogeochemical cycling and agricultural productivities, which makes metaproteomics …

Background Data mining techniques are used to mine unknown knowledge from huge data.
Microarray gene expression (MGE) data plays a major role in predicting type of cancer. But …

Efficient evaluation of biotoxicity of organics is of vital significance to resource utilization and
environmental protection. In this study, toxicity of 110 alcohol compounds to tadpoles of …

ABSTRACT A graduation prediction of student can be regarded as a nonlinear classification
problem involving some academic parameters that has a goal to predict whether a student …

Sepsis is a potentially life-threatening medical condition that increases mortality in pediatric
populations admitted in the intensive care unit (ICU). Due to the unpredictable nature of the …

Feature selection attracts researchers who deal with machine learning and data mining. It
consists of selecting the variables that have the greatest impact on the dataset classification …

This paper presents a metaheuristic framework using Harmony Search (HS) with Genetic
Algorithm (GA) for gene selection. The internal architecture of the proposed model broadly …