Microarrays make it possible to monitor the expression of thousands of genes in parallel thus generating huge amounts of data. So far, several databases have been developed for managing and analyzing this kind of data but the current state of the art in this field is still early stage. In this paper, we comprehensively analyze the requirements for microarray data management. We consider the var...

dna microarrays and gene expression assets dna microarrays and gene expression from experiments to dna microarrays and gene expression: from experiments to dna microarrays and gene expression dna microarrays and gene expressionfrom experiments to dna microarrays and gene expression: from experiments to dna microarrays and computational analysis final sln a4.... microarray data integration and t...

Background Classification of cancer subtypes by means of microarray signatures is becoming increasingly difficult to ignore as a potential to transform pathological diagnosis nonetheless, measurement of Indicator genes in routine practice appears to be arduous. In a preceding published study, we utilized real-time PCR measurement of Indicator genes in acute lymphoid leukaemia (ALL) and acute m...

Abstract Cancer is a significant cause of death worldwide. Early cancer detection greatly aided by machine learning and artificial intelligence (AI) to gene microarray data sets (microarray data). Despite this, there discrepancy between the number features in set samples. Because it crucial identify markers for array data. Existing feature selection algorithms, however, generally use long-stand...

In recent years, stem cell therapy has become a very promising and advanced scientific research topic. The development of treatment methods evoked great expectations, not only researchers but also society due to its potency in cell-based therapy. Stem cells are unspecialized the human body. They able differentiate into any an organism have ability self-renewal. Broadly speaking, application can...

Microarray gene expression profiles provide valuable answers to a variety of problems, and contributes advances in clinical medicine. Gene data typically has high dimension small sample size. selection from microarray is challenge due dimensionality the data. The number samples dataset much smaller compared genes as features. To extract useful information cancer reduce dimensionality, significa...