A review of bio-inspired algorithms as image processing techniques

NE Abdul Khalid, N Md Ariff, S Yahya… - … and Computer Systems …, 2011 - Springer
This paper reviews 80 out of 130 bio-inspired Algorithm (BIAs) researches published in
google scholar and IEEExplore between the periods of 1995 to 2010 used to solve image …

Learning biomarkers of pluripotent stem cells in mouse

L Scheubert, R Schmidt, D Repsilber, M Luštrek… - DNA …, 2011 - academic.oup.com
Pluripotent stem cells are able to self-renew, and to differentiate into all adult cell types.
Many studies report data describing these cells, and characterize them in molecular terms …

A framework for feature selection in high-dimensional domains

L Cannas - 2013 - iris.unica.it
The introduction of DNA microarray technology has lead to enormous impact in cancer
research, allowing researchers to analyze expression of thousands of genes in concert and …

An approach of multiple classifiers ensemble based on feature selection

B Chen, HX Zhang - 2008 Fifth International Conference on …, 2008 - ieeexplore.ieee.org
In order to improve the classification performance of classifiers, an approach of multiple
classifiers ensemble based on feature selection (FSCE) is proposed in the paper. After …

Biomarker discovery for toxicity

C Meydan, OU Sezerman - Neurocomputing, 2010 - Elsevier
Toxicity biomarkers allow the safe evaluation of possible toxic effects of a substance in early
phases of drug discovery. Finding the optimal subset of genes to use as biomarkers is an …

Discovery of biomarkers for hexachlorobenzene toxicity using population based methods on gene expression data

C Meydan, A Küçükural, D Yörükoğlu… - Pattern Recognition in …, 2008 - Springer
Discovering toxicity biomarkers is important in drug discovery to safely evaluate possible
toxic effects of a substance in early phases. We tried evolutionary classification methods for …

An evolutionary approach for balancing effectiveness and representation level in gene selection

N Dessì, B Pes, LM Cannas - Journal of Information Technology …, 2015 - igi-global.com
As data mining develops and expands to new application areas, feature selection also
reveals various aspects to be considered. This paper underlines two aspects that seem to …

Development of computational tools for the integrated analysis of DNA microarray data with applications in cancer research

ES dos Santos Valente - 2015 - search.proquest.com
DNA microarrays are one of the most used technologies for gene expression measurement.
However, there are several distinct microarray platforms, from different manufacturers, each …

An Evolutionary Approach for Balancing Effectiveness and Representation Level in Gene Selection

N Dessì, B Pes, LM Cannas - Artificial Intelligence: Concepts …, 2017 - igi-global.com
As data mining develops and expands to new application areas, feature selection also
reveals various aspects to be considered. This paper underlines two aspects that seem to …

[PDF][PDF] A Review of Bio-inspired Algorithms as Image processing Techniques

NM Ariff, NEA Khalid, S Yahya, NM Noor - academia.edu
Evolutionary Algorithms (EAs) has been enormously successful. Within little more than a
decade hundreds of papers have reported successful applications of EAs. In fact, there are …