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» Classification of microarray data using gene networks
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169
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BIBM
2008
IEEE
217views Bioinformatics» more  BIBM 2008»
15 years 10 months ago
Combining Hierarchical Inference in Ontologies with Heterogeneous Data Sources Improves Gene Function Prediction
The study of gene function is critical in various genomic and proteomic fields. Due to the availability of tremendous amounts of different types of protein data, integrating thes...
Xiaoyu Jiang, Naoki Nariai, Martin Steffen, Simon ...
137
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JIB
2010
107views more  JIB 2010»
14 years 10 months ago
Integration of -omics data and networks for biomedical research with VANTED
Increasingly, research focus in the fields of biology and medicine moves from the investigation of single phenomena to the analysis of complex cause and effect relationships. The ...
Christian Klukas, Falk Schreiber
120
Voted
BMCBI
2006
82views more  BMCBI 2006»
15 years 3 months ago
Transcriptomic response to differentiation induction
Background: Microarrays used for gene expression studies yield large amounts of data. The processing of such data typically leads to lists of differentially-regulated genes. A com...
G. W. Patton, Robert M. Stephens, I. A. Sidorov, X...
134
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BMCBI
2005
116views more  BMCBI 2005»
15 years 3 months ago
Which gene did you mean?
Computational Biology needs computer-readable information records. Increasingly, meta-analysed and pre-digested information is being used in the follow up of high throughput exper...
Barend Mons
137
Voted
BMCBI
2008
138views more  BMCBI 2008»
15 years 3 months ago
Methods for simultaneously identifying coherent local clusters with smooth global patterns in gene expression profiles
Background: The hierarchical clustering tree (HCT) with a dendrogram [1] and the singular value decomposition (SVD) with a dimension-reduced representative map [2] are popular met...
Yin-Jing Tien, Yun-Shien Lee, Han-Ming Wu, Chun-Ho...