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Evaluation of noise reduction techniques in the splice junction recognition problem Genet. Mol. Biol.
Lorena,Ana C.; Carvalho,André C. P. L. F. de.
The Human Genome Project has generated a large amount of sequence data. A number of works are currently concerned with analyzing these data. One of the analyses carried out is the identification of genes' structures on the sequences obtained. As such, one can search for particular signals associated with gene expression. Splice junctions represent a type of signal present on eukaryote genes. Many studies have applied Machine Learning techniques in the recognition of such regions. However, most of the genetic databases are characterized by the presence of noisy data, which can affect the performance of the learning techniques. This paper evaluates the effectiveness of five data pre-processing algorithms in the elimination of noisy instances from two splice...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Pre-processing; Machine learning; Splice junction recognition.
Ano: 2004 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1415-47572004000400031
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Variables impacting poultry meat quality from production to pre-slaughter: a review Rev. Bras. Ciênc. Avic.
Baracho,MS; Camargo,GA; Lima,AMC; Mentem,JF; Moura,DJ; Moreira,J; Nääs,IA.
Poultry meat quality has been widely studied, and has become a growing demand of the international market. Parameters that affect meat quality are complex, and occur throughout the production chain. The constant concern with meat quality by the exporting sectors is a response to consumers' demands, and is achieved by increasing efficiency, and investments in personnel training on quality. Understanding where critical points are in the poultry meat production chain, and investing in solving critical problems may lead to better control and management, and consequent reduction of losses. Production and management practices, from farm to processing plant, play an important role in meat quality, and the use of technologies to reduce risk factors throughout the...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Meat hygiene; Meat quality; Pre-processing; Production chain.
Ano: 2006 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1516-635X2006000400001
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