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BMCBI
2005
113views more  BMCBI 2005»
14 years 10 months ago
Pathway level analysis of gene expression using singular value decomposition
Background: A promising direction in the analysis of gene expression focuses on the changes in expression of specific predefined sets of genes that are known in advance to be rela...
John K. Tomfohr, Jun Lu, Thomas B. Kepler
NAR
2007
95views more  NAR 2007»
14 years 9 months ago
VisANT 3.0: new modules for pathway visualization, editing, prediction and construction
With the integration of the KEGG and Predictome databases as well as two search engines for coexpressed genes/proteins using data sets obtained from the Stanford Microarray Databa...
Zhenjun Hu, David M. Ng, Takuji Yamada, Chunnuan C...
KDD
2004
ACM
141views Data Mining» more  KDD 2004»
15 years 10 months ago
A Maximum Entropy Approach to Biomedical Named Entity Recognition
Machine learning approaches are frequently used to solve name entity (NE) recognition (NER). In this paper we propose a hybrid method that uses maximum entropy (ME) as the underly...
Yi-Feng Lin, Tzong-Han Tsai, Wen-Chi Chou, Kuen-Pi...
RECOMB
2005
Springer
15 years 10 months ago
Very Low Power to Detect Asymmetric Divergence of Duplicated Genes
Abstract. Asymmetric functional divergence of paralogues is a key aspect of the traditional model of evolution following duplication. If one gene continues to perform the ancestral...
Cathal Seoighe, Konrad Scheffler
INFOCOM
2008
IEEE
15 years 4 months ago
Complex Network Measurements: Estimating the Relevance of Observed Properties
Abstract—Complex networks, modeled as large graphs, received much attention during these last years. However, data on such networks is only available through intricate measuremen...
Matthieu Latapy, Clémence Magnien