Biomedical Information Extraction for Disease Gene Prioritization.
Jupinder ParmarWilliam KoehlerMartin BringmannKatharina Sophia VolzBerk KapiciogluPublished in: CoRR (2020)
Keyphrases
- information extraction
- biomedical literature
- text mining
- disease genes
- gene function
- biological entities
- candidate genes
- biological knowledge
- protein protein interaction networks
- natural language processing
- microarray
- gene gene
- free text
- named entity recognition
- precision and recall
- gene expression
- differentially expressed genes
- complex diseases
- molecular level
- information retrieval
- web documents
- functional genomics
- text documents
- question answering
- gene gene interactions
- web mining
- signaling pathways
- relation extraction
- gene sets
- entity extraction
- dna microarray
- conditional random fields
- gene clusters
- disease diagnosis
- named entities
- genome wide
- text processing
- structured data
- information extraction systems
- machine learning
- natural language
- biologically meaningful
- gene expression data
- gene networks
- microarray data
- gene ontology
- natural language text
- gene regulatory networks
- single nucleotide polymorphisms
- gene selection
- automatic extraction
- related genes
- protein protein interactions
- word sense disambiguation