800 search results - page 28 / 160 » A Repulsive Clustering Algorithm for Gene Expression Data |
BMCBI
2010
13 years 5 months ago
2010
Background: One of the most commonly performed tasks when analysing high throughput gene expression data is to use clustering methods to classify the data into groups. There are a...
NAR
2011
12 years 10 months ago
2011
Various databases have harnessed the wealth of publicly available microarray data to address biological questions ranging from across-tissue differential expression to homologous ...
SAC
2004
ACM
14 years 1 months ago
2004
ACM
Gene clustering based on microarray data provides useful functional information to the working biologists. Many current gene-clustering algorithms rely on Euclidean-based distance...
RECOMB
2001
Springer
14 years 8 months ago
2001
Springer
The recent growth in genomic data and measurements of genome-wide expression patterns allows us to apply computational tools to examine gene regulation by transcription factors. I...
JBI
2006
13 years 7 months ago
2006
To microarray expression data analysis, it is well accepted that biological knowledge-guided clustering techniques show more advantages than pure mathematical techniques. In this ...