Results 1 to 10 of about 91,297 (118)
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
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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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Geometric interpretation of gene coexpression network analysis.
PLoS Computational Biology, 2008 THE MERGING OF NETWORK THEORY AND MICROARRAY DATA ANALYSIS TECHNIQUES HAS SPAWNED A NEW FIELD: gene coexpression network analysis. While network methods are increasingly used in biology, the network vocabulary of computational biologists tends to be far ...
Steve Horvath, Jun Dong
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BASE - 2nd generation software for microarray data management and analysis
BMC Bioinformatics, 2009 Background Microarray experiments are increasing in size and samples are collected asynchronously over long time. Available data are re-analysed as more samples are hybridized.
Nordborg Nicklas +3 more
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PLoS ONE, 2012 Microarray data analysis has been shown to provide an effective tool for studying cancer and genetic diseases. Although classical machine learning techniques have successfully been applied to find informative genes and to predict class labels for new ...
Enrico Glaab +3 more
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High throughput genetic analysis of congenital myasthenic syndromes using resequencing microarrays. [PDF]
PLoS ONE, 2007 The use of resequencing microarrays for screening multiple, candidate disease loci is a promising alternative to conventional capillary sequencing. We describe the performance of a custom resequencing microarray for mutational analysis of Congenital ...
Lisa Denning +5 more
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A Fully Automated Gridding Technique for Real Composite cDNA Microarray Images
IEEE Access, 2020 Genome-wide screening using microarrays of DNA will be of great use in the early diagnosis of diseases such as cancer and HIV. It also makes use of gene discovery, pharmacogenomics, toxicogenomics, and nutrigenomics for other applications.
Steffy Maria Joseph, P. S. Sathidevi
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Chromosomal microarrays testing in children with developmental disabilities and congenital anomalies
Jornal de Pediatria (Versão em Português), 2015 Objectives: Clinical use of microarray‐based techniques for the analysis of many developmental disorders has emerged during the last decade. Thus, chromosomal microarray has been positioned as a first‐tier test. This study reports the first experience in
Guillermo Lay‐Son +5 more
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Automatic Spot Identification Method for High Throughput Surface Plasmon Resonance Imaging Analysis
Biosensors, 2018 An automatic spot identification method is developed for high throughput surface plasmon resonance imaging (SPRi) analysis. As a combination of video accessing, image enhancement, image processing and parallel processing techniques, the method can ...
Zhiyou Wang +2 more
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BMC Bioinformatics, 2008 Background Microarray experimentation requires the application of complex analysis methods as well as the use of non-trivial computer technologies to manage the resultant large data sets.
Aitman T +15 more
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