ANDDigest: a new web-based module of ANDSystem for the search of knowledge in the scientific literature

• Published in: BMC bioinformatics Vol. 21; no. S11; pp. 228 - 21
• Main Authors: Ivanisenko, Timofey V., Saik, Olga V., Demenkov, Pavel S., Ivanisenko, Nikita V., Savostianov, Alexander N., Ivanisenko, Vladimir A.
• Format: Journal Article
• Language: English
• Published: England BioMed Central Ltd 14.09.2020; BioMed Central; BMC
• Subjects: Algorithms; Analysis; Associative gene network; Automation; Comorbidity; Data mining; Data Mining - methods; Data search; Databases, Factual; Dynamics of interest; Genes; Genetics; Information search; Internet; Keywords; Knowledge management; Knowledge representation; Knowledge retrieval; Machine learning; Mapping; Modules; Names; Neural networks; Ontology; Proteins; PubMed; Queries; Search engines; Semantics; Signal transduction; Software; Support vector machines; Text-mining; Visualization; Web-based tool; Text-mining; Web-based tool; Knowledge retrieval; Trend analysis; Associative gene network; Information search; Dynamics of interest

The rapid growth of scientific literature has rendered the task of finding relevant information one of the critical problems in almost any research. Search engines, like Google Scholar, Web of Knowledge, PubMed, Scopus, and others, are highly effective in document search; however, they do not allow...