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ISBRA
2007
Springer
14 years 2 months ago
Discovering Relations Among GO-Annotated Clusters by Graph Kernel Methods
The biological interpretation of large-scale gene expression data is one of the challenges in current bioinformatics. The state-of-theart approach is to perform clustering and then...
Italo Zoppis, Daniele Merico, Marco Antoniotti, Bu...
BMCBI
2006
120views more  BMCBI 2006»
13 years 8 months ago
A factor analysis model for functional genomics
Background: Expression array data are used to predict biological functions of uncharacterized genes by comparing their expression profiles to those of characterized genes. While b...
Rafal Kustra, Romy Shioda, Mu Zhu
BMCBI
2004
150views more  BMCBI 2004»
13 years 8 months ago
Graph-based iterative Group Analysis enhances microarray interpretation
Background: One of the most time-consuming tasks after performing a gene expression experiment is the biological interpretation of the results by identifying physiologically impor...
Rainer Breitling, Anna Amtmann, Pawel Herzyk
NAR
2008
174views more  NAR 2008»
13 years 7 months ago
miRGator: an integrated system for functional annotation of microRNAs
MicroRNAs (miRNAs) constitute an important class of regulators that are involved in various cellular and disease processes. However, the functional significance of each miRNA is m...
Seungyoon Nam, Bumjin Kim, Seokmin Shin, Sanghyuk ...
ISMDA
2005
Springer
14 years 2 months ago
The Ontological Lens: Zooming in and out from Genomic to Clinical Level
Abstract. Ontology is the talk of the day in the medical informatics comm.unity. Its relevant role in the design and implementation of information systems in health care is now wid...
Domenico M. Pisanelli, Francesco Pinciroli, Marco ...