rdf:type |
|
lifeskim:mentions |
|
pubmed:issue |
22
|
pubmed:dateCreated |
2005-11-4
|
pubmed:abstractText |
Clustering techniques such as k-means and hierarchical clustering are commonly used to analyze DNA microarray derived gene expression data. However, the interactions between processes underlying the cell activity suggest that the complexity of the microarray data structure may not be fully represented with discrete clustering methods.
|
pubmed:language |
eng
|
pubmed:journal |
|
pubmed:citationSubset |
IM
|
pubmed:status |
MEDLINE
|
pubmed:month |
Nov
|
pubmed:issn |
1367-4803
|
pubmed:author |
|
pubmed:issnType |
Print
|
pubmed:day |
15
|
pubmed:volume |
21
|
pubmed:owner |
NLM
|
pubmed:authorsComplete |
Y
|
pubmed:pagination |
4192-3
|
pubmed:dateRevised |
2006-11-15
|
pubmed:meshHeading |
pubmed-meshheading:16159914-Cluster Analysis,
pubmed-meshheading:16159914-Computational Biology,
pubmed-meshheading:16159914-Computer Graphics,
pubmed-meshheading:16159914-Data Interpretation, Statistical,
pubmed-meshheading:16159914-Gene Expression Regulation,
pubmed-meshheading:16159914-Internet,
pubmed-meshheading:16159914-Oligonucleotide Array Sequence Analysis,
pubmed-meshheading:16159914-Pattern Recognition, Automated,
pubmed-meshheading:16159914-Probability,
pubmed-meshheading:16159914-Programming Languages,
pubmed-meshheading:16159914-Sensitivity and Specificity,
pubmed-meshheading:16159914-Sequence Alignment,
pubmed-meshheading:16159914-Sequence Analysis, DNA,
pubmed-meshheading:16159914-Software,
pubmed-meshheading:16159914-User-Computer Interface
|
pubmed:year |
2005
|
pubmed:articleTitle |
MILVA: an interactive tool for the exploration of multidimensional microarray data.
|
pubmed:affiliation |
Neural Computing Research Group, Aston University, Aston Triangle, Birmingham, UK.
|
pubmed:publicationType |
Journal Article,
Research Support, Non-U.S. Gov't
|