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» A Parallel Algorithm for Gene Expressing Data Biclustering
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84
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CSB
2005
IEEE
151views Bioinformatics» more  CSB 2005»
15 years 6 months ago
Analysis of SNP-Expression Association Matrices
High throughput expression profiling and genotyping technologies provide the means to study the genetic determinants of population variation in gene expression variation. In this ...
Anya Tsalenko, Roded Sharan, Hege Edvardsen, Vesse...
97
Voted
BMCBI
2005
112views more  BMCBI 2005»
15 years 13 days ago
Vector analysis as a fast and easy method to compare gene expression responses between different experimental backgrounds
Background: Gene expression studies increasingly compare expression responses between different experimental backgrounds (genetic, physiological, or phylogenetic). By focusing on ...
Rainer Breitling, Patrick Armengaud, Anna Amtmann
116
Voted
BMCBI
2006
151views more  BMCBI 2006»
15 years 18 days ago
Modeling Sage data with a truncated gamma-Poisson model
Background: Serial Analysis of Gene Expressions (SAGE) produces gene expression measurements on a discrete scale, due to the finite number of molecules in the sample. This means t...
Helene H. Thygesen, Aeilko H. Zwinderman
KDD
2002
ACM
147views Data Mining» more  KDD 2002»
16 years 29 days ago
Visualized Classification of Multiple Sample Types
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...
Li Zhang, Aidong Zhang, Murali Ramanathan
KDD
2004
ACM
145views Data Mining» more  KDD 2004»
16 years 29 days ago
Mining coherent gene clusters from gene-sample-time microarray data
Extensive studies have shown that mining microarray data sets is important in bioinformatics research and biomedical applications. In this paper, we explore a novel type of genesa...
Daxin Jiang, Jian Pei, Murali Ramanathan, Chun Tan...