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GeneRIF

A GeneRIF or Gene Reference Into Function is a short (255 characters or fewer) statement about the function of a gene. GeneRIFs provide a simple… Expand
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Broader (2)

BioinformaticsNatural language processing
Outline of natural language processingPubMedText Retrieval Conference

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2013
2013
Using the Argumentative Structure of Scientific Literature to Improve Information Access
MEDLINE/PubMed contains structured abstracts that can provide argumentative labels. Selection of abstract sentences based on the… Expand
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2011
2011
Learning from positive and unlabeled documents for automated detection of alternative splicing sentences in medline abstracts
Alternative splicing is considered to be a key factor underlying increased cellular and functional complexity in higher… Expand
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2008
2008
Mining Protein-Protein Interactions from GeneRIFs with OpenDMAP
We applied the OpenDMAP [1] and BioNLP-UIMA [2] NLP systems to the task of mining protein-protein interactions (PPIs) from… Expand
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2008
2008
An Integrative Network Approach to Map the Transcriptome to the Phenome
Although many studies have been successful in the discovery of cooperating groups of genes, mapping these groups to phenotypes… Expand
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2006
2006
GeneRIF is a more comprehensive, current and computationally tractable source of gene-disease relationships than OMIM
Motivation: The human genome has been extensively annotated with Gene Ontology for biological functions, but minimally… Expand
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Review
2006
Review
2006
Extracting information for biology
High-throughput methods like the large scale sequencing of the human genome dramatically increase our knowledge of genetics and… Expand
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2003
2003
Similarity Computation in Novelty Detection and GeneRIF Annotation
s and the testing corpus including 9,005 abstracts. The details for our function extraction approach are illustrated as follows… Expand
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2003
2003
SVM Approach to GeneRIF Annotation
In the biological domain, to extract the newly discovered functional features from massive literature is a major challenging… Expand
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2003
2003
Searching for geneRIFs: Concept-Based Query Expansion and Bayes Classification
The Biosemantics group at the Erasmus MC followed a thesaurus-based approach for the first task of the genomics track. The… Expand
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2003
2003
Edinburgh-Stanford TREC-2003 Genomics Track
We describe our participation in both tasks in the 2003 TREC Genomics track. For the primary task we concentrated mainly upon… Expand
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