151 search results - page 12 / 31 » Data mining in bioinformatics using Weka |
161
Voted
KDD
2006
ACM
16 years 4 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 ...
116
Voted
KDD
2004
ACM
16 years 4 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 ...
150
Voted
BMCBI
2008
15 years 3 months ago
2008
Background: Despite considerable efforts within the microarray community for standardising data format, content and description, microarray technologies present major challenges i...
145
Voted
BMCBI
2008
15 years 3 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...
211
Voted
TCBB
2011
14 years 10 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...