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» Biological Network Inference Using Redundancy Analysis
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BIRD
2007
Springer
118views Bioinformatics» more  BIRD 2007»
13 years 8 months ago
Biological Network Inference Using Redundancy Analysis
The paper presents MRNet, an original method for inferring genetic networks from microarray data. This method is based on maximum relevance/minimum redundancy (MRMR), an effective ...
Patrick Emmanuel Meyer, Kevin Kontos, Gianluca Bon...
BMCBI
2006
164views more  BMCBI 2006»
13 years 4 months ago
BIOZON: a system for unification, management and analysis of heterogeneous biological data
Integration of heterogeneous data types is a challenging problem, especially in biology, where the number of databases and data types increase rapidly. Amongst the problems that o...
Aaron Birkland, Golan Yona
BIOSYSTEMS
2008
75views more  BIOSYSTEMS 2008»
13 years 4 months ago
Using matrix of thresholding partial correlation coefficients to infer regulatory network
DNA arrays measure the expression levels for thousands of genes simultaneously under different conditions. These measurements reflect many aspects of the underlying biological pro...
Lide Han, Jun Zhu
BMCBI
2008
129views more  BMCBI 2008»
13 years 4 months ago
Motif-directed network component analysis for regulatory network inference
Background: Network Component Analysis (NCA) has shown its effectiveness in discovering regulators and inferring transcription factor activities (TFAs) when both microarray data a...
Chen Wang, Jianhua Xuan, Li Chen, Po Zhao, Yue Wan...
BMCBI
2008
202views more  BMCBI 2008»
13 years 4 months ago
Network motif-based identification of transcription factor-target gene relationships by integrating multi-source biological data
Background: Integrating data from multiple global assays and curated databases is essential to understand the spatiotemporal interactions within cells. Different experiments measu...
Yuji Zhang, Jianhua Xuan, Benildo de los Reyes, Ro...