Abstract
Microarrays have become one of the leading technologies used for gene expression analysis and functional genomics in many biological fields. Potential applications of microarrays can facilitate advances in molecular biology, systems biology, functional genomics, clinical medicine, and pharmacogenomics. However, microarray data can also lead to inaccurate and irreproducible conclusions. Here, we present a critical review of current computational tools used for normalization, statistical analysis, cluster analysis, and mathematical modeling-based analysis. Despite the pitfalls and challenges that still encompass the computational analysis of microarray data, the use of this technology remains very promising. In our opinion, achieving the full potential of microarray technology requires additional theoretical advances.
Keywords: mRNA sample population, hybridization, reference genes, Permutation Based Methods, Normalization, Mathematical Modeling-Based Analysis
Related Journals
Related Books
In Vitro Propagation and Secondary Metabolite Production from Medicinal Plants: Current Trends (Part 2)
Micropropagation of Medicinal Plants
Software and Programming Tools in Pharmaceutical Research
Biotechnology and Drug Development for Targeting Human Diseases
In Vitro Propagation and Secondary Metabolite Production from Medicinal Plants: Current Trends (Part 1)
Molecular and Physiological Insights into Plant Stress Tolerance and Applications in Agriculture- Part 2
Micropropagation of Medicinal Plants
Genome Editing in Bacteria (Part 1)
Data Science for Agricultural Innovation and Productivity
Animal Models In Experimental Medicine
4