ArticleFrontiers in physiology2013
Effective use of latent semantic indexing and computational linguistics in biological and biomedical applications.
Article in Frontiers in physiology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
16 citing papers in PubMed.
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- Chronic dehydration induces injury pathways in rats, but does not mimic histopathology of chronic interstitial nephritis in agricultural communities.Scientific reports · 2023Article
- Intersection of the Orphan G Protein-Coupled Receptor, GPR19, with the Aging Process.International journal of molecular sciences · 2022Review
- Making Biomedical Sciences publications more accessible for machines.Medicine, health care, and philosophy · 2022Article
- A Web Application for Biomedical Text Mining of Scientific Literature Associated with Coronavirus-Related Syndromes: Coronavirus Finder.Diagnostics (Basel, Switzerland) · 2022Article
- GPCRs Are Optimal Regulators of Complex Biological Systems and Orchestrate the Interface between Health and Disease.International journal of molecular sciences · 2021Review
- Developing and testing an automated qualitative assistant (AQUA) to support qualitative analysis.Family medicine and community health · 2021Article
- G Protein-Coupled Receptor Systems as Crucial Regulators of DNA Damage Response Processes.International journal of molecular sciences · 2018Review
- GRK5 - A Functional Bridge Between Cardiovascular and Neurodegenerative Disorders.Frontiers in pharmacology · 2018Review
- Altered learning, memory, and social behavior in type 1 taste receptor subunit 3 knock-out mice are associated with neuronal dysfunction.The Journal of biological chemistry · 2017Article
- Article
- Fulfilling the Promise of "Biased" G Protein-Coupled Receptor Agonism.Molecular pharmacology · 2015Review
- Hippocampal Transcriptomic and Proteomic Alterations in the BTBR Mouse Model of Autism Spectrum Disorder.Frontiers in physiology · 2015Article
- GIT2 Acts as a Systems-Level Coordinator of Neurometabolic Activity and Pathophysiological Aging.Frontiers in endocrinology · 2015Article
- Empirical study using network of semantically related associations in bridging the knowledge gap.Journal of translational medicine · 2014Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Text mining is rapidly becoming an essential technique for the annotation and analysis of large biological data sets. Biomedical literature currently increases at a rate of several thousand papers per week, making automated information retrieval methods the only feasible method of managing this expanding corpus. With the increasing prevalence of open-access journals and constant growth of publicly-available repositories of biomedical literature, literature mining has become much more effective with respect to the extraction of biomedically-relevant data. In recent years, text mining of popular databases such as MEDLINE has evolved from basic term-searches to more sophisticated natural language processing techniques, indexing and retrieval methods, structural analysis and integration of literature with associated metadata. In this review, we will focus on Latent Semantic Indexing (LSI), a computational linguistics technique increasingly used for a variety of biological purposes. It is noted for its ability to consistently outperform benchmark Boolean text searches and co-occurrence models at information retrieval and its power to extract indirect relationships within a data set. LSI has been used successfully to formulate new hypotheses, generate novel connections from existing data, and validate empirical data.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.