151 search results - page 12 / 31 » Data mining in bioinformatics using Weka |
104
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KDD
2006
ACM
15 years 10 months ago
2006
ACM
Linear and Quadratic Discriminant Analysis have been used widely in many areas of data mining, machine learning, and bioinformatics. Friedman proposed a compromise between Linear ...
KDD
2004
ACM
15 years 10 months ago
2004
ACM
Most data mining algorithms require the setting of many input parameters. Two main dangers of working with parameter-laden algorithms are the following. First, incorrect settings ...
BMCBI
2008
14 years 10 months ago
2008
Background: Despite considerable efforts within the microarray community for standardising data format, content and description, microarray technologies present major challenges i...
BMCBI
2008
14 years 10 months ago
2008
Background: Current sequencing technologies give access to sequence information for genomes and metagenomes at a tremendous speed. Subsequent data processing is mainly performed b...
150
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TCBB
2011
14 years 4 months ago
2011
: Extraction of meaningful information from large experimental datasets is a key element of bioinformatics research. One of the challenges is to identify genomic markers in Hepatit...