Learning rule-based models of biological process from gene expression time profiles using gene ontology.
about
Epilepsy informatics and an ontology-driven infrastructure for large database research and patient care in epilepsyA kernelisation approach for multiple d-Hitting Set and its application in optimal multi-drug therapeutic combinationsAutomatic extraction of angiogenesis bioprocess from textA comprehensive analysis of the structure-function relationship in proteins based on local structure similarity.SwitchFinder - a novel method and query facility for discovering dynamic gene expression patterns.CAMUR: Knowledge extraction from RNA-seq cancer data through equivalent classification rules.Three methods for optimization of cross-laboratory and cross-platform microarray expression data.Automatic extraction of gene ontology annotation and its correlation with clusters in protein networks.Semantic integration to identify overlapping functional modules in protein interaction networksThe biological function of some human transcription factor binding motifs varies with position relative to the transcription start site.Data- and expert-driven rule induction and filtering framework for functional interpretation and description of gene setsOntology integration to identify protein complex in protein interaction networks.Computational characterization of proteins.From databases to modelling of functional pathwaysEpilepsy and seizure ontology: towards an epilepsy informatics infrastructure for clinical research and patient care.Text-mining approach to evaluate terms for ontology development.RNA and protein clean-up from the same specimen. Comparison between the Qiagen and Ambion protocols.
P2860
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P2860
Learning rule-based models of biological process from gene expression time profiles using gene ontology.
description
2003 nî lūn-bûn
@nan
2003年の論文
@ja
2003年論文
@yue
2003年論文
@zh-hant
2003年論文
@zh-hk
2003年論文
@zh-mo
2003年論文
@zh-tw
2003年论文
@wuu
2003年论文
@zh
2003年论文
@zh-cn
name
Learning rule-based models of ...... profiles using gene ontology.
@en
type
label
Learning rule-based models of ...... profiles using gene ontology.
@en
prefLabel
Learning rule-based models of ...... profiles using gene ontology.
@en
P356
P1433
P1476
Learning rule-based models of ...... e profiles using gene ontology
@en
P2093
Astrid Laegreid
Jan Komorowski
P304
P356
10.1093/BIOINFORMATICS/BTG047
P407
P577
2003-06-01T00:00:00Z