Analysis of Microarray Data using Artificial Intelligence Based Techniques [PDF]
Biotechnology, 2016 Microarray is one of the essential technologies used by the biologists to measure genome-wide expression levels of genes in a particular organism under some particular conditions or stimuli. As microarrays technologies have become more prevalent, the challenges of analyzing these data for getting better insight about biological processes have ...
Khalid Raza
semanticscholar +5 more sources
Association Analysis Techniques for Discovering Functional Modules from Microarray Data [PDF]
Nature Precedings, 2008 An application of great interest in microarray data analysis is the identification of a group of genes that show very similar patterns of expression in a data set, and are expected to represent groups of genes that perform common/similar functions, also known as functional modules.
Gaurav Pandey +3 more
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Microarray Technique, Analysis, and Applications in Dermatology [PDF]
Journal of Investigative Dermatology, 2013 The Human Genome Project, completed in 2003, identified the sequence of the approximately 25,000 genes that comprise the human genome. Knowledge of the structure of the human genome opened the doors to studying the actual function of specific genes, which is necessary to understanding health and disease.
Jennifer Villaseñor‐Park +1 more
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Bioinformatics Techniques in Microarray Research: Applied Microarray Data Analysis Using R and SAS Software [PDF]
, 2010 Exploration of the underlying biological mechanisms of disease is useful for many purposes such as the development of novel treatment modalities in addition to informing on-going risk factor research. DNA-microarray technology is a relatively recent and novel approach to conducting genome-wide gene expression studies to identify previously unknown ...
Ryan T. Demmer +2 more
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Adaptive techniques for microarray image analysis with related quality assessment [PDF]
Journal of Electronic Imaging, 2007 We propose novel techniques for microarray image analysis. In particular, we describe an overall pipeline able to solve the most common problems of microarray image analysis. We pro- pose the microarray image rotation algorithm (MIRA) and the statis- tical gridding pipeline (SGRIP) as two advanced modules devoted to restoring the original microarray ...
BATTIATO, SEBASTIANO +4 more
openaire +3 more sources
Integrating image processing with deep convolutional neural networks for gene selection and cancer classification using microarray data [PDF]
Scientific ReportsMicroarray technology has revolutionized cancer genomics by enabling the simultaneous analysis of thousands of gene expressions, providing critical insights into gene regulation and disease mechanisms.
Yuanyuan Zhang, Jing Chen, Chong Zhang
doaj +2 more sources
Application of chromosome microarray analysis and karyotyping in fetal cardiac abnormalities [PDF]
Frontiers in GeneticsObjectiveChromosome microarray analysis (CMA) and karyotyping are two important genetic testing techniques used in prenatal diagnosis. This study aims to evaluate the value of chromosome microarray analysis and karyotyping in the diagnosis of fetal ...
Yun Guo +3 more
doaj +2 more sources
Comparison of different probe-level analysis techniques for oligonucleotide microarrays
BioTechniques, 2004 Three different software packages for the probe-level analysis of high-density oligonucleotide microarray data were compared using an experiment-derived data set that was validated using real-time PCR. The efficiency with which these three programs could identify true positives in this data set was assessed. In addition, estimates of false-positive and
Barbara Rosati +4 more
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Identification of humoral immune responses in protein microarrays using DNA microarray data analysis techniques [PDF]
Bioinformatics, 2006 Abstract Motivation: We present a study of antigen expression signals from a newly developed high-throughput protein microarray technique. These signals are a measure of antibody–antigen binding activity and provide a basis for understanding humoral immune responses to various infectious agents and supporting vaccine and diagnostic ...
Suman Sundaresh +7 more
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A Discrete Wavelet Based Feature Extraction and Hybrid Classification Technique for Microarray Data Analysis [PDF]
The Scientific World Journal, 2014 Cancer classification by doctors and radiologists was based on morphological and clinical features and had limited diagnostic ability in olden days. The recent arrival of DNA microarray technology has led to the concurrent monitoring of thousands of gene expressions in a single chip which stimulates the progress in cancer classification. In this paper,
M. Anto Bennet +2 more
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