Sentence examples for based on text mining from inspiring English sources
Based on the microarray-based network, 98 genes were associated with prostate cancer, and based on text mining, 133 genes were associated with prostate cancer; 34 of them were identified with both procedures.
A novel OntoPlus methodology is proposed for semi-automatic ontology extension based on text mining methods.
In this paper, a framework to serve PDD personnel for better information and knowledge management purpose based on text mining (TM) methodology is proposed.
This network was constructed by integrating a disease similarity network based on text mining algorithms on OMIM records [33] and a protein interaction network.
These methods can be used to discover whether a character appears in a scene based on text mining, face recognition, and speaker identified, as was previously performed in [5] and [6].
These results indicate that HPO-based calculation of the disease similarity network (i.e., HPONet) better reflects functional relations among diseases than that based on text mining algorithms on OMIM records for the prediction of disease-associated genes.
Additionally, we provide statistical phenotypic associations with known chromosomal aberrations and phenotypic ontologies based on text-mining of recent MEDLINE releases [ 30].
This is the main reason we already excluded associations based on text-mining only from the STRING database, however remaining data may still contain false associations.
To complement the siRNA screen data, we used pathway analysis based on text-mining of the literature to identify autophagy modulators.
The use of ANDSystem, Pathway Studio and STRING computer tools based on text-mining and database-mining approaches allowed us to reconstruct associative networks, representing molecular genetic interactions between genes, associated concurrently with comorbid disease pairs, including pre-eclampsia, diabetes mellitus, gestational diabetes and obesity.
It is a database of multi-species protein-chemical interactions, which, not only integrates many experimentally validated and manually curated data sources, but also provides a technique to compute predictions based on text-mining in research articles and analysis of chemical structures.
