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Thamaraiselvi et al., 2014 - Google Patents

Infants Disease Prediction Architecture Using Artificial Neural Networks and Digital Image Processing

Thamaraiselvi et al., 2014

Document ID
13672011299081361997
Author
Thamaraiselvi V
Kaliappan V
Publication year
Publication venue
2014 World Congress on Computing and Communication Technologies

External Links

Snippet

Disease prediction of infants from DNA sequences remains as an open challenge in the area of bioinformatics, which deals with understanding human diseases and in identification of new molecular target for drug discovery. To provide solution, a novel prototype …
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Classifications

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    • G06F19/10—Bioinformatics, i.e. methods or systems for genetic or protein-related data processing in computational molecular biology
    • G06F19/24—Bioinformatics, i.e. methods or systems for genetic or protein-related data processing in computational molecular biology for machine learning, data mining or biostatistics, e.g. pattern finding, knowledge discovery, rule extraction, correlation, clustering or classification
    • G—PHYSICS
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    • G06F19/22—Bioinformatics, i.e. methods or systems for genetic or protein-related data processing in computational molecular biology for sequence comparison involving nucleotides or amino acids, e.g. homology search, motif or SNP [Single-Nucleotide Polymorphism] discovery or sequence alignment
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    • G06F19/18—Bioinformatics, i.e. methods or systems for genetic or protein-related data processing in computational molecular biology for functional genomics or proteomics, e.g. genotype-phenotype associations, linkage disequilibrium, population genetics, binding site identification, mutagenesis, genotyping or genome annotation, protein-protein interactions or protein-nucleic acid interactions
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
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    • C12Q1/6813—Hybridisation assays

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