[HTML][HTML] Biomedical text mining and its applications in cancer research
F Zhu, P Patumcharoenpol, C Zhang, Y Yang… - Journal of biomedical …, 2013 - Elsevier
Cancer is a malignant disease that has caused millions of human deaths. Its study has a
long history of well over 100years. There have been an enormous number of publications on …
long history of well over 100years. There have been an enormous number of publications on …
Literature mining, ontologies and information visualization for drug repurposing
The immense growth of MEDLINE coupled with the realization that a vast amount of
biomedical knowledge is recorded in free-text format, has led to the appearance of a large …
biomedical knowledge is recorded in free-text format, has led to the appearance of a large …
CancerMine: a literature-mined resource for drivers, oncogenes and tumor suppressors in cancer
Tumors from individuals with cancer are frequently genetically profiled for information about
the driving forces behind the disease. We present the CancerMine resource, a text-mined …
the driving forces behind the disease. We present the CancerMine resource, a text-mined …
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 …
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 …
Corpus annotation for mining biomedical events from literature
Abstract Background Advanced Text Mining (TM) such as semantic enrichment of papers,
event or relation extraction, and intelligent Question Answering have increasingly attracted …
event or relation extraction, and intelligent Question Answering have increasingly attracted …
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 …
Text mining and its potential applications in systems biology
With biomedical literature increasing at a rate of several thousand papers per week, it is
impossible to keep abreast of all developments; therefore, automated means to manage the …
impossible to keep abreast of all developments; therefore, automated means to manage the …
Frontiers of biomedical text mining: current progress
It is now almost 15 years since the publication of the first paper on text mining in the
genomics domain, and decades since the first paper on text mining in the medical domain …
genomics domain, and decades since the first paper on text mining in the medical domain …
Extraction of semantic biomedical relations from text using conditional random fields
Background The increasing amount of published literature in biomedicine represents an
immense source of knowledge, which can only efficiently be accessed by a new generation …
immense source of knowledge, which can only efficiently be accessed by a new generation …