Sciweavers

1158 search results - page 104 / 232
» Microarray Gene Expression Data Analysis
Sort
View
148
Voted
ICPR
2006
IEEE
16 years 3 months ago
Finding Rule Groups to Classify High Dimensional Gene Expression Datasets
Microarray data provides quantitative information about the transcription profile of cells. To analyze microarray datasets, methodology of machine learning has increasingly attrac...
Jiyuan An, Yi-Ping Phoebe Chen
219
Voted
IJCNN
2006
IEEE
15 years 8 months ago
Reconstruction of Gene Regulatory Networks from Temporal Microarray Data Using Pattern Recognition Techniques
- Gene regulatory networks allow us to study and understand genes’ roles in biological processes. Among others, regulatory networks help to identify pathway initiator genes and t...
Azhar Salim, Faramarz Valafar
139
Voted
BMCBI
2005
86views more  BMCBI 2005»
15 years 2 months ago
Confirmation of human protein interaction data by human expression data
Background: With microarray technology the expression of thousands of genes can be measured simultaneously. It is well known that the expression levels of genes of interacting pro...
Andreas Hahn, Jörg Rahnenführer, Priti T...
BMCBI
2008
87views more  BMCBI 2008»
15 years 2 months ago
Global rank-invariant set normalization (GRSN) to reduce systematic distortions in microarray data
Background: Microarray technology has become very popular for globally evaluating gene expression in biological samples. However, non-linear variation associated with the technolo...
Carl R. Pelz, Molly Kulesz-Martin, Grover Bagby, R...
97
Voted
KDD
2004
ACM
108views Data Mining» more  KDD 2004»
16 years 2 months ago
Sleeved coclustering
A coCluster of a m?n matrix X is a submatrix determined by a subset of the rows and a subset of the columns. The problem of finding coClusters with specific properties is of inter...
Avraham A. Melkman, Eran Shaham