Identifying gene and protein terms is important for obtaining biological knowledge from literature. We have developed GPmarkup (for gene and proteinname mark up), a system that automatically identifies gene and protein terms and maps gene and protein symbols (e.g., DR3) to names (e.g., Death Receptor 3) in MEDLINE abstracts
This paper describes a methodology for discovering and resolving protein names abbreviations from th...
In this paper we discuss the performance of a text-based classification approach by comparing differ...
The recognition and normalization of gene mentions in biomedical literature are crucial steps in bio...
AbstractMotivation. Natural language processing (NLP) techniques are used to extract information aut...
Motivation. Natural language processing (NLP) techniques are used to extract information automatical...
Genes and proteins are often associated with multiple names, and more names are added as new functio...
Identification of genes and proteins that affect biological function in humans and other organisms i...
Background: Identification of gene and protein names in biomedical text is a challenging task as the...
Genes and proteins are often associated with multiple names, and more names are added as new functio...
Automatically extracting information from biomedical text holds the promise of easily consolidating ...
The aim of this paper was to develop a system for identification of biomedical entities, such as pro...
Background: Good automatic information extraction tools offer hope for automatic processing of the e...
Copyright © 2015 Chih-Hsuan Wei et al. This is an open access article distributed under the Creative...
Background: Good automatic information extraction tools offer hope for automatic processing of the ...
The automatic recognition of gene names and their associated database identifiers from biomedical te...
This paper describes a methodology for discovering and resolving protein names abbreviations from th...
In this paper we discuss the performance of a text-based classification approach by comparing differ...
The recognition and normalization of gene mentions in biomedical literature are crucial steps in bio...
AbstractMotivation. Natural language processing (NLP) techniques are used to extract information aut...
Motivation. Natural language processing (NLP) techniques are used to extract information automatical...
Genes and proteins are often associated with multiple names, and more names are added as new functio...
Identification of genes and proteins that affect biological function in humans and other organisms i...
Background: Identification of gene and protein names in biomedical text is a challenging task as the...
Genes and proteins are often associated with multiple names, and more names are added as new functio...
Automatically extracting information from biomedical text holds the promise of easily consolidating ...
The aim of this paper was to develop a system for identification of biomedical entities, such as pro...
Background: Good automatic information extraction tools offer hope for automatic processing of the e...
Copyright © 2015 Chih-Hsuan Wei et al. This is an open access article distributed under the Creative...
Background: Good automatic information extraction tools offer hope for automatic processing of the ...
The automatic recognition of gene names and their associated database identifiers from biomedical te...
This paper describes a methodology for discovering and resolving protein names abbreviations from th...
In this paper we discuss the performance of a text-based classification approach by comparing differ...
The recognition and normalization of gene mentions in biomedical literature are crucial steps in bio...