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NameT Description# Ann.AuthorMaintainerUpdated_atStatus

581-590 / 590 show all
testone 6.76 Kykyao2023-11-29
twitter-test 13Jin-Dong Kim2023-11-28Developing
NCBIDiseaseCorpus The NCBI disease corpus is fully annotated at the mention and concept level to serve as a research resource for the biomedical natural language processing community.6.85 KRezarta Islamaj Doğan,Robert Leaman,Zhiyong LuChih-Hsuan Wei2023-11-29Released
CoMAGC In order to access the large amount of information in biomedical literature about genes implicated in various cancers both efficiently and accurately, the aid of text mining (TM) systems is invaluable. Current TM systems do target either gene-cancer relations or biological processes involving genes and cancers, but the former type produces information not comprehensive enough to explain how a gene affects a cancer, and the latter does not provide a concise summary of gene-cancer relations. In order to support the development of TM systems that are specifically targeting gene-cancer relations but are still able to capture complex information in biomedical sentences, we publish CoMAGC, a corpus with multi- faceted annotations of gene-cancer relations. In CoMAGC, a piece of annotation is composed of four semantically orthogonal concepts that together express 1) how a gene changes, 2) how a cancer changes and 3) the causality between the gene and the cancer. The multi-faceted annotations are shown to have high inter-annotator agreement. In addition, the annotations in CoMAGC allow us to infer the prospective roles of genes in cancers and to classify the genes into three classes according to the inferred roles. We encode the mapping between multi-faceted annotations and gene classes into 10 inference rules. The inference rules produce results with high accuracy as measured against human annotations. CoMAGC consists of 821 sentences on prostate, breast and ovarian cancers. Currently, the corpus deals with changes in gene expression levels among other types of gene changes.1.53 KLee et alHee-Jin Lee2023-11-24Released
SMAFIRA-Case-Studies-24204323 From: https://github.com/SMAFIRA/c_corpus/blob/master/SMAFIRAc_0.4_Annotations.csv0zebet2023-11-29Developing
GO-BP Annotation for biological processes as defined in the "Biological Process" subset of Gene Ontology35.4 KDBCLSJin-Dong Kim2023-11-29Developing
glycobiology-test 27Jin-Dong Kim2023-11-29Developing
simple1 4.34 Khxr-2016_dlut2023-11-29
test3 10.7 Kykyao2023-11-29
RELASIGEBLAH7hhaider5 277hhaider52023-11-29Developing
NameT # Ann.AuthorMaintainerUpdated_atStatus

581-590 / 590 show all
testone 6.76 Kykyao2023-11-29
twitter-test 13Jin-Dong Kim2023-11-28Developing
NCBIDiseaseCorpus 6.85 KRezarta Islamaj Doğan,Robert Leaman,Zhiyong LuChih-Hsuan Wei2023-11-29Released
CoMAGC 1.53 KLee et alHee-Jin Lee2023-11-24Released
SMAFIRA-Case-Studies-24204323 0zebet2023-11-29Developing
GO-BP 35.4 KDBCLSJin-Dong Kim2023-11-29Developing
glycobiology-test 27Jin-Dong Kim2023-11-29Developing
simple1 4.34 Khxr-2016_dlut2023-11-29
test3 10.7 Kykyao2023-11-29
RELASIGEBLAH7hhaider5 277hhaider52023-11-29Developing