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» Tests for gene clustering
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113
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ICDM
2005
IEEE
215views Data Mining» more  ICDM 2005»
15 years 6 months ago
CLUGO: A Clustering Algorithm for Automated Functional Annotations Based on Gene Ontology
We address the issue of providing highly informative and comprehensive annotations using information revealed by the structured vocabularies of Gene Ontology (GO). For a target, a...
In-Yee Lee, Jan-Ming Ho, Ming-Syan Chen
114
Voted
BMCBI
2008
104views more  BMCBI 2008»
15 years 23 days ago
Missing value imputation improves clustering and interpretation of gene expression microarray data
Background: Missing values frequently pose problems in gene expression microarray experiments as they can hinder downstream analysis of the datasets. While several missing value i...
Johannes Tuikkala, Laura Elo, Olli Nevalainen, Ter...
IDEAL
2004
Springer
15 years 6 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
233
Voted
ISBI
2011
IEEE
14 years 4 months ago
Hierarchical clustering of the genetic connectivity matrix reveals the network topology of gene action on brain microstructure:
Genetic correlation (rg) analysis determines how much of the correlation between two measures is due to common genetic influences. In an analysis of 4 Tesla diffusion tensor image...
Ming-Chang Chiang, Marina Barysheva, Katie McMahon...
197
Voted
ICDE
2009
IEEE
155views Database» more  ICDE 2009»
16 years 2 months ago
Finding Time-Lagged 3D Clusters
Existing 3D clustering algorithms on gene ? sample ? time expression data do not consider the time lags between correlated gene expression patterns. Besides, they either ignore the...
Xin Xu, Ying Lu, Kian-Lee Tan, Anthony K. H. Tung