Sciweavers

1526 search results - page 81 / 306
» Classification of microarray data using gene networks
Sort
View
128
Voted
IDEAL
2004
Springer
15 years 8 months ago
Visualisation of Distributions and Clusters Using ViSOMs on Gene Expression Data
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...
Swapna Sarvesvaran, Hujun Yin
WABI
2009
Springer
155views Bioinformatics» more  WABI 2009»
15 years 9 months ago
A Markov Classification Model for Metabolic Pathways
Background: This paper considers the problem of identifying pathways through metabolic networks that relate to a specific biological response. Our proposed model, HME3M, first ide...
Timothy Hancock, Hiroshi Mamitsuka
132
Voted
BMCBI
2004
90views more  BMCBI 2004»
15 years 2 months ago
Statistical monitoring of weak spots for improvement of normalization and ratio estimates in microarrays
Background: Several aspects of microarray data analysis are dependent on identification of genes expressed at or near the limits of detection. For example, regression-based normal...
Igor Dozmorov, Nicholas Knowlton, Yuhong Tang, Mic...
151
Voted
BIOINFORMATICS
2007
190views more  BIOINFORMATICS 2007»
15 years 2 months ago
Towards clustering of incomplete microarray data without the use of imputation
Motivation: Clustering technique is used to find groups of genes that show similar expression patterns under multiple experimental conditions. Nonetheless, the results obtained by...
Dae-Won Kim, Ki Young Lee, Kwang H. Lee, Doheon Le...
116
Voted
BMCBI
2006
134views more  BMCBI 2006»
15 years 2 months ago
An approach for clustering gene expression data with error information
Background: Clustering of gene expression patterns is a well-studied technique for elucidating trends across large numbers of transcripts and for identifying likely co-regulated g...
Brian Tjaden