Results 1 to 10 of about 25,843,066 (286)
Association Analysis Techniques for Discovering Functional Modules from Microarray Data [PDF]
Nature Precedings, 2008 AbstractAn 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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Tetrahymena thermophila Functional Genomics Database
中国科学数据, 2022 Tetrahymena thermophila is an excellent unicellular eukaryote. Since T. thermophila could be purely cultured in the lab, well established molecular and genetic techniques and clear genetic ...
Yang Wentao +6 more
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Gene expression analysis of glucocorticoid-induced apoptosis by a gene microarray technique [PDF]
Nature Genetics, 2001 Gene expression analysis of glucocorticoid-induced apoptosis by a gene microarray ...
Huiling He +3 more
openaire +1 more source
IEEE Access, 2019 The problem of gridding microarray images remains a challenging task. This is because microarray images are usually contaminated with noise and artifacts, such as low intensity and poor quality spots.
Mary Monir Saeid +2 more
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Pre-implantation Genetic Testing for Aneuploidy (PGT-A)
Thai Journal of Obstetrics and Gynaecology, 2020 Preimplantation genetic diagnosis (PGD) or embryo selection was first performed in 1989 using PCR for gender selection to avoid X-linked recessive disorder. However, there was a misdiagnosis due to allele drop out (ADO). Therefore, fluorescent in situ
Wirawit Piyamongkol
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Operon information improves gene expression estimation for cDNA microarrays
BMC Genomics, 2006 Background In prokaryotic genomes, genes are organized in operons, and the genes within an operon tend to have similar levels of expression. Because of co-transcription of genes within an operon, borrowing information from other genes within the same ...
Pan Wei +3 more
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An efficient approach for gene selection through parallel bio-inspired algorithms and Shapley value analysis [PDF]
International Journal of Research in Industrial EngineeringThe fast development of microarray technology has significantly assisted in the use of gene expression analysis to forecast cancer subtypes. Analyzing high-dimensional microarray data is still challenging, as existing hybrid methods cannot find highly ...
Vijaya Lakshmi Alluri +3 more
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Gene set enrichment meta-learning analysis: next- generation sequencing versus microarrays
BMC Bioinformatics, 2010 Background Reproducibility of results can have a significant impact on the acceptance of new technologies in gene expression analysis. With the recent introduction of the so-called next-generation sequencing (NGS) technology and established microarrays ...
Bajgot Mateja +2 more
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DNA microarray technology in medical diagnostics
Zdravniški Vestnik, 2007 Background: DNA microarray technology opened a completely new venue in the biomedical research. By allowing to follow the expression of thousands of genes in a single experiment (ideally we can follow the expression of the entire genome), the microarray ...
Damjana Rozman, Peter Juvan
doaj
Triple-target microarray experiments: a novel experimental strategy
BMC Genomics, 2004 Background High-throughput, parallel gene expression analysis by means of microarray technology has become a widely used technique in recent years. There are currently two main dye-labelling strategies for microarray studies based on custom-spotted cDNA ...
Cooke Howard J +4 more
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