Finding relevant references to genes and proteins in Medline using a Bayesian approach.
Julie E. LeonardJeffrey B. ColombeJoshua L. LevyPublished in: Bioinform. (2002)
Keyphrases
- finding relevant
- biomedical literature
- biological entities
- medline abstracts
- protein protein interactions
- biological processes
- gene ontology terms
- manually annotated
- disease genes
- protein protein interaction networks
- text mining
- dna binding
- arabidopsis thaliana
- saccharomyces cerevisiae
- sequenced genomes
- gene ontology
- gene expression
- gene function
- related documents
- gene products
- protein interaction data
- protein interaction
- cellular processes
- biomedical text
- automatic extraction
- structural motifs
- protein function
- genomic data
- microarray data
- computational methods
- homo sapiens
- gene expression data
- biological knowledge
- interaction networks
- annotated corpus
- signaling pathways
- protein coding regions
- living cells
- cell cycle
- metabolic pathways
- network topology
- microarray
- protein sequences
- transcription factors
- protein complexes
- experimental conditions
- genome wide
- biological networks
- gene regulatory networks
- biological data
- functional modules
- molecular biology
- coding regions
- gene expression profiles
- high throughput