19 search results - page 2 / 4 » Clustering of High-Dimensional Gene Expression Data with Fea... |
IDEAL
2004
Springer
13 years 10 months ago
2004
Springer
Microarray datasets are often too large to visualise due to the high dimensionality. The self-organising map has been found useful to analyse massive complex datasets. It can be us...
BMCBI
2011
12 years 12 months ago
2011
Background: Cross-platform analysis of gene express data requires multiple, intricate processes at different layers with various platforms. However, existing tools handle only a s...
BMCBI
2007
13 years 5 months ago
2007
Background: Recent analyses have suggested that many genes possess multiple transcription start sites (TSSs) that are differentially utilized in different tissues and cell lines. ...
KDD
2002
ACM
14 years 5 months ago
2002
ACM
The goal of the knowledge discovery and data mining is to extract the useful knowledge from the given data. Visualization enables us to find structures, features, patterns, and re...
BMCBI
2010
13 years 5 months ago
2010
Background: In high-dimensional data analysis such as differential gene expression analysis, people often use filtering methods like fold-change or variance filters in an attempt ...