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» Technologies for Integrating Biological Data
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EVOW
2005
Springer
16 years 2 days ago
Order Preserving Clustering over Multiple Time Course Experiments
Abstract. Clustering still represents the most commonly used technique to analyze gene expression data—be it classical clustering approaches that aim at finding biologically rel...
Stefan Bleuler, Eckart Zitzler
BMCBI
2010
202views more  BMCBI 2010»
15 years 6 months ago
NeMo: Network Module identification in Cytoscape
Background: As the size of the known human interactome grows, biologists increasingly rely on computational tools to identify patterns that represent protein complexes and pathway...
Corban G. Rivera, Rachit Vakil, Joel S. Bader
CEC
2010
IEEE
15 years 7 months ago
Evolutionary layered hypernetworks for identifying microRNA-mRNA regulatory modules
Abstract-- Exploring microRNA (miRNA) and mRNA regulatory interactions may give new insights into diverse biological phenomena. While elucidating complex miRNA-mRNA interactions ha...
Soo-Jin Kim, JungWoo Ha, Bado Lee, Byoung-Tak Zhan...
BMCBI
2007
102views more  BMCBI 2007»
15 years 6 months ago
Identification of homologs in insignificant blast hits by exploiting extrinsic gene properties
Background: Homology is a key concept in both evolutionary biology and genomics. Detection of homology is crucial in fields like the functional annotation of protein sequences and...
Jos Boekhorst, Berend Snel
BMCBI
2008
123views more  BMCBI 2008»
15 years 6 months ago
Functional module detection by functional flow pattern mining in protein interaction networks
eraction networks. In this abstract, we extend this approach by mining functional flow patterns for the purpose of detecting small-sized modules for specific functions. Methods Our...
Young-Rae Cho, Lei Shi, Aidong Zhang