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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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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Using an attribute estimation technique for the analysis of microarray data
, 2003 We present an original method for the analysis of microarray data based on an attribute estimation technique. We show, in the context of radioactive environmental stress, that this method can be used to detect a small number of genes that, highly probably, are involved in the response to this stress in yeast.
Jérémie Mary +5 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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Simcluster: clustering enumeration gene expression data on the simplex space [PDF]
BMC Bioinformatics, 2007 Background Transcript enumeration methods such as SAGE, MPSS, and sequencing-by-synthesis EST "digital northern", are important high-throughput techniques for digital gene expression measurement.
Brentani Helena +4 more
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Bioinformatics meets machine learning: identifying circulating biomarkers for vitiligo across blood and tissues [PDF]
Frontiers in ImmunologyBackgroundVitiligo is a skin disorder characterized by the progressive loss of pigmentation in the skin and mucous membranes. The exact aetiology and pathogenesis of vitiligo remain incompletely understood.MethodsFirst, a microarray dataset of blood ...
Qiyu Wang +6 more
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Topographical imaging technique for qualitative analysis of microarray data [PDF]
BioTechniques, 2006 James Ch. Davis +3 more
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Evaluation of the Tissue Microarray Technique for Immunohistochemical Analysis in Rectal Cancer
Archives of Pathology & Laboratory Medicine, 2002 Abstract Background.—Immunohistochemical staining for tumor-associated proteins is widely used for the identification of novel prognostic markers. Recently, a tissue-conserving, high-throughput technique, tissue microarray, has been introduced. This technique uses 0.6-mm tissue core biopsy specimens, 500 to 1000 of which are brought into
Eva Fernebro +4 more
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Gene Ranking Techniques via Attribute Evaluation Algorithms for DNA Microarray Analysis [PDF]
International Conference on Aerospace Sciences and Aviation Technology, 2011 M. Al Senousy +3 more
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Deep Learning-Based Prediction of Alzheimer’s Disease Using Microarray Gene Expression Data
Biomedicines, 2023 Alzheimer’s disease is a genetically complex disorder, and microarray technology provides valuable insights into it. However, the high dimensionality of microarray datasets and small sample sizes pose challenges. Gene selection techniques have emerged as
Mahmoud M. Abdelwahab +2 more
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