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Transcriptome of Sterile Testes in <i>dnd</i>-Depleted Atlantic Salmon (<i>Salmo salar</i> L.) Highlights Genes Involved in Gonadal and Brain Development. [PDF]

Genes (Basel)
Krasnov A, Afanasyev S, Dessen JE, Hansen MHS, Vaadal M, Tveiten H, Andersen Ø.   +6 more
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Panmicrobial Microarrays

, 2020
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Minimum redundancy feature selection from microarray gene expression data

Computational Systems Bioinformatics. CSB2003. Proceedings of the 2003 IEEE Bioinformatics Conference. CSB2003, 2003
Selecting a small subset of genes out of the thousands of genes in microarray data is important for accurate classification of phenotypes. Widely used methods typically rank genes according to their differential expressions among phenotypes and pick the ...
C. Ding, Hanchuan Peng
semanticscholar   +1 more source

Allergen Microarrays

2005
Allergy affects more than 25% of Western populations (1) and is estimated to be the sixth leading cause of chronic disease in the United States and Western Europe. The complexity of the condition is such that hundreds of common allergens have been described, and in order to maximize diagnostic efficiency there is an urgent clinical requirement for ...
Bacarese Hamilton T., Gray J., Ardizzoni A., CRISANTI, Andrea   +3 more
openaire   +5 more sources

Tissue Microarrays

2009
Modern array technologies allow for the simultaneous screening of virtually all human genes on the DNA and RNA level. Studies using such techniques have lead to the identification of hundreds of genes with a potential role in cancer or other diseases. The validation of all of these candidate genes requires in situ analysis of high numbers of clinical ...
Ana-Maria, Dancau, Ronald, Simon, Martina, Mirlacher, Guido, Sauter   +3 more
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Deep learning approach for microarray cancer data classification

CAAI Transactions on Intelligence Technology, 2020
Analysis of microarray data is a highly challenging problem due to the inherent complexity in the nature of the data associated with higher dimensionality, smaller sample size, imbalanced number of classes, noisy data-structure, and higher variance of ...
Hema Shekar Basavegowda, G. Dagnew
semanticscholar   +1 more source

Expression and Microarrays

2008
High throughput methodologies have increased by several orders of magnitude the amount of experimental microarray data available. Nevertheless, translating these data into useful biological knowledge remains a challenge. There is a risk of perceiving these methodologies as mere factories that produce never-ending quantities of data if a proper ...
Joaquín Dopazo, Fatima Al-Shahrour
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Microarray challenges in ecology [PDF]

Trends in Ecology & Evolution, 2007
Microarrays are used to measure simultaneously the amount of mRNAs transcribed from many genes. They were originally designed for gene expression profiling in relatively simple biological systems, such as cell lines and model systems under constant laboratory conditions.
Kammenga, J.E., Herman, M.A., Ouborg, N.J., Johnson, L., Breitling, R.   +4 more
openaire   +5 more sources