BioRED: a rich biomedical relation extraction dataset
Automated relation extraction (RE) from biomedical literature is critical for many downstream
text mining applications in both research and real-world settings. However, most existing …
text mining applications in both research and real-world settings. However, most existing …
PubTator central: automated concept annotation for biomedical full text articles
Abstract PubTator Central (https://www. ncbi. nlm. nih. gov/research/pubtator/) is a web
service for viewing and retrieving bioconcept annotations in full text biomedical articles …
service for viewing and retrieving bioconcept annotations in full text biomedical articles …
Text mining genotype-phenotype relationships from biomedical literature for database curation and precision medicine
The practice of precision medicine will ultimately require databases of genes and mutations
for healthcare providers to reference in order to understand the clinical implications of each …
for healthcare providers to reference in order to understand the clinical implications of each …
Recent advances of automated methods for searching and extracting genomic variant information from biomedical literature
Motivation To obtain key information for personalized medicine and cancer research,
clinicians and researchers in the biomedical field are in great need of searching genomic …
clinicians and researchers in the biomedical field are in great need of searching genomic …
BEST: next-generation biomedical entity search tool for knowledge discovery from biomedical literature
As the volume of publications rapidly increases, searching for relevant information from the
literature becomes more challenging. To complement standard search engines such as …
literature becomes more challenging. To complement standard search engines such as …
tmVar 2.0: integrating genomic variant information from literature with dbSNP and ClinVar for precision medicine
CH Wei, L Phan, J Feltz, R Maiti, T Hefferon… - Bioinformatics, 2018 - academic.oup.com
Motivation Despite significant efforts in expert curation, clinical relevance about most of the
154 million dbSNP reference variants (RS) remains unknown. However, a wealth of …
154 million dbSNP reference variants (RS) remains unknown. However, a wealth of …
Immune-centric network of cytokines and cells in disease context identified by computational mining of PubMed
K Kveler, E Starosvetsky, A Ziv-Kenet, Y Kalugny… - Nature …, 2018 - nature.com
Cytokines are signaling molecules secreted and sensed by immune and other cell types,
enabling dynamic intercellular communication. Although a vast amount of data on these …
enabling dynamic intercellular communication. Although a vast amount of data on these …
deepBioWSD: effective deep neural word sense disambiguation of biomedical text data
Objective In biomedicine, there is a wealth of information hidden in unstructured narratives
such as research articles and clinical reports. To exploit these data properly, a word sense …
such as research articles and clinical reports. To exploit these data properly, a word sense …
Deep learning of mutation-gene-drug relations from the literature
Background Molecular biomarkers that can predict drug efficacy in cancer patients are
crucial components for the advancement of precision medicine. However, identifying these …
crucial components for the advancement of precision medicine. However, identifying these …
Gaussian distributed prototypical network for few-shot genomic variant detection
J Cao, N Peek, A Renehan… - The 22nd Workshop on …, 2023 - aclanthology.org
Automatically identifying genetic mutations in the cancer literature using text mining
technology has been an important way to study the vast amount of cancer medical literature …
technology has been an important way to study the vast amount of cancer medical literature …