Results 31 to 40 of about 43,712,030 (248)

Contextualizing Genes by Using Text-Mined Co-Occurrence Features for Cancer Gene Panel Discovery

open access: yesFrontiers in Genetics, 2021
Developing a biomedical-explainable and validatable text mining pipeline can help in cancer gene panel discovery. We create a pipeline that can contextualize genes by using text-mined co-occurrence features.
Hui-O Chen   +11 more
doaj   +1 more source

Two Similarity Metrics for Medical Subject Headings (MeSH): An Aid to Biomedical Text Mining and Author Name Disambiguation. [PDF]

open access: yesJ Biomed Discov Collab, 2016
Two Similarity Metrics for Medical Subject Headings (MeSH): An Aid to Biomedical Text Mining and Author Name ...
Smalheiser NR, Bonifield G.
europepmc   +3 more sources

Large-Scale Biomedical Relation Extraction Across Diverse Relation Types: Model Development and Usability Study on COVID-19

open access: yesJournal of Medical Internet Research, 2023
BackgroundBiomedical relation extraction (RE) is of great importance for researchers to conduct systematic biomedical studies. It not only helps knowledge mining, such as knowledge graphs and novel knowledge discovery, but also ...
Zeyu Zhang   +11 more
doaj   +1 more source

Topic Modeling Technique for Text Mining Over Biomedical Text Corpora Through Hybrid Inverse Documents Frequency and Fuzzy K-Means Clustering

open access: yesIEEE Access, 2019
Text data plays an imperative role in the biomedical domain. As patient's data comprises of a huge amount of text documents in a non-standardized format.
Junaid Rashid   +6 more
doaj   +1 more source

New directions in biomedical text annotation: definitions, guidelines and corpus construction

open access: yesBMC Bioinformatics, 2006
Background While biomedical text mining is emerging as an important research area, practical results have proven difficult to achieve. We believe that an important first step towards more accurate text-mining lies in the ability to identify and ...
Rzhetsky Andrey   +2 more
doaj   +1 more source

Text Mining for Building Biomedical Networks Using Cancer as a Case Study

open access: yesBiomolecules, 2021
In the assembly of biological networks it is important to provide reliable interactions in an effort to have the most possible accurate representation of real-life systems.
Sofia I. R. Conceição   +1 more
doaj   +1 more source

ECO-CollecTF: A Corpus of Annotated Evidence-Based Assertions in Biomedical Manuscripts

open access: yesFrontiers in Research Metrics and Analytics, 2021
Analysis of high-throughput experiments in the life sciences frequently relies upon standardized information about genes, gene products, and other biological entities.
Elizabeth T. Hobbs   +14 more
doaj   +1 more source

A framework for the development of Biomedical Text Mining software tools [PDF]

open access: yes2008 8th IEEE International Conference on BioInformatics and BioEngineering, 2008
Over the last few years, a growing number of techniques has been successfully proposed to tackle diverse challenges in the biomedical text mining (BioTM) arena. However, the set of available software tools to researchers has not grown in a similar way.
Anália Lourenço   +8 more
openaire   +2 more sources

A text-mining system for extracting metabolic reactions from full-text articles [PDF]

open access: yes, 2012
Background: Increasingly biological text mining research is focusing on the extraction of complex relationships relevant to the construction and curation of biological networks and pathways. However, one important category of pathway—metabolic pathways—
Czarnecki, Jan M.   +12 more
core   +1 more source

A Novel Metric to Quantify the Effect of Pathway Enrichment Evaluation With Respect to Biomedical Text-Mined Terms: Development and Feasibility Study

open access: yesJMIR Medical Informatics, 2021
BackgroundNatural language processing has long been applied in various applications for biomedical knowledge inference and discovery. Enrichment analysis based on named entity recognition is a classic application for inferring enriched associations in ...
Xuan Qin, Xinzhi Yao, Jingbo Xia
doaj   +1 more source

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