A brief survey of text mining: Classification, clustering and extraction techniques
The amount of text that is generated every day is increasing dramatically. This tremendous
volume of mostly unstructured text cannot be simply processed and perceived by computers …
volume of mostly unstructured text cannot be simply processed and perceived by computers …
Named entity recognition and relation detection for biomedical information extraction
The number of scientific publications in the literature is steadily growing, containing our
knowledge in the biomedical, health, and clinical sciences. Since there is currently no …
knowledge in the biomedical, health, and clinical sciences. Since there is currently no …
DisGeNET: a comprehensive platform integrating information on human disease-associated genes and variants
The information about the genetic basis of human diseases lies at the heart of precision
medicine and drug discovery. However, to realize its full potential to support these goals …
medicine and drug discovery. However, to realize its full potential to support these goals …
DisGeNET: a discovery platform for the dynamical exploration of human diseases and their genes
DisGeNET is a comprehensive discovery platform designed to address a variety of
questions concerning the genetic underpinning of human diseases. DisGeNET contains …
questions concerning the genetic underpinning of human diseases. DisGeNET contains …
Translating cancer genomics into precision medicine with artificial intelligence: applications, challenges and future perspectives
J Xu, P Yang, S Xue, B Sharma, M Sanchez-Martin… - Human genetics, 2019 - Springer
In the field of cancer genomics, the broad availability of genetic information offered by next-
generation sequencing technologies and rapid growth in biomedical publication has led to …
generation sequencing technologies and rapid growth in biomedical publication has led to …
Information retrieval and text mining technologies for chemistry
Efficient access to chemical information contained in scientific literature, patents, technical
reports, or the web is a pressing need shared by researchers and patent attorneys from …
reports, or the web is a pressing need shared by researchers and patent attorneys from …
Extraction of relations between genes and diseases from text and large-scale data analysis: implications for translational research
Background Current biomedical research needs to leverage and exploit the large amount of
information reported in scientific publications. Automated text mining approaches, in …
information reported in scientific publications. Automated text mining approaches, in …
GWAS Central: an expanding resource for finding and visualising genotype and phenotype data from genome-wide association studies
T Beck, T Rowlands, T Shorter… - Nucleic Acids …, 2023 - academic.oup.com
The GWAS Central resource gathers and curates extensive summary-level genome-wide
association study (GWAS) data and puts a range of user-friendly but powerful website tools …
association study (GWAS) data and puts a range of user-friendly but powerful website tools …
Renet: A deep learning approach for extracting gene-disease associations from literature
Over one million new biomedical articles are published every year. Efficient and accurate
text-mining tools are urgently needed to automatically extract knowledge from these articles …
text-mining tools are urgently needed to automatically extract knowledge from these articles …
Knowlife: a versatile approach for constructing a large knowledge graph for biomedical sciences
Background Biomedical knowledge bases (KB's) have become important assets in life
sciences. Prior work on KB construction has three major limitations. First, most biomedical …
sciences. Prior work on KB construction has three major limitations. First, most biomedical …