Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Diversity in Cell Signaling Responses01:22

Diversity in Cell Signaling Responses

7.5K
The physiological function of a cell and cellular communication are outcomes of a range of extrinsic signals, intracellular signaling pathways, and cellular responses. No two cell types express the same repertoire of signaling components. Receptors are highly selective for their cognate ligands, but once activated, they can alter multiple cellular processes such as DNA transcription, protein synthesis, and metabolic activity. 
Graded and Abrupt Responses
Some signaling systems generate...
7.5K
Diversity of Antigen Receptors01:28

Diversity of Antigen Receptors

1.3K
Antigen receptors are essential components of the immune system crucial in defending the body against foreign invaders. These receptors are present on the surface of B and T cells, enabling them to recognize antigens and mount an appropriate immune response.
Before encountering any antigen, lymphocytes express these receptors. On B cells, the antigen receptor is a membrane-bound antibody molecule called BCR; on T cells, it is a T cell receptor or TCR. B and T cell receptors are composed of two...
1.3K
Combination Therapies and Personalized Medicine02:50

Combination Therapies and Personalized Medicine

5.8K
Combining two or more treatment methods increases the life span of cancer patients while reducing damage to vital organs or tissue from the overuse of a single treatment. Combination therapy also targets different cancer-inducing pathways, thus reducing the chances of developing resistance to treatment.
The combination of the drug acetazolamide and sulforaphane is a good example of combination therapy to treat cancer. The cells in the interior of a large tumor often die due to the hypoxic and...
5.8K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Palladium-catalyzed olefination and arylation of 2-substituted 1,2,3-triazole N-oxides.

Organic letters·2013
Same author

One-stop hybrid coronary revascularization versus coronary artery bypass grafting and percutaneous coronary intervention for the treatment of multivessel coronary artery disease: 3-year follow-up results from a single institution.

Journal of the American College of Cardiology·2013
Same author

Relative contributions of the thalamus and the paraventricular nucleus of the hypothalamus to the cardiac sympathetic afferent reflex.

American journal of physiology. Regulatory, integrative and comparative physiology·2013
Same author

Initial light soaking treatment enables hole transport material to outperform spiro-OMeTAD in solid-state dye-sensitized solar cells.

Journal of the American Chemical Society·2013
Same author

The rice GERMINATION DEFECTIVE 1, encoding a B3 domain transcriptional repressor, regulates seed germination and seedling development by integrating GA and carbohydrate metabolism.

The Plant journal : for cell and molecular biology·2013
Same author

Salvage intensity modulated radiotherapy using endorectal balloon after radical prostatectomy: clinical outcomes.

International journal of urology : official journal of the Japanese Urological Association·2013

Related Experiment Video

Updated: Jan 2, 2026

Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances
07:35

Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances

Published on: October 11, 2018

7.9K

A supervised term ranking model for diversity enhanced biomedical information retrieval.

Bo Xu1,2, Hongfei Lin3, Liang Yang4

  • 1Faculty of Electronic Information and Electrical Engineering, Dalian University of Technology, Linggong Road, Dalian, People's Republic of China. xubo@dlut.edu.cn.

BMC Bioinformatics
|December 3, 2019
PubMed
Summary

Biomedical information retrieval is enhanced using a supervised term ranking model that refines queries for more relevant and diverse search results. This approach improves information access for researchers navigating the growing volume of scientific literature.

Keywords:
Biomedical information retrievalDiversity-oriented retrievalLearning to rankMachine learningSupervised query expansionTerm ranking model

More Related Videos

Constructing and Visualizing Models using Mime-based Machine-learning Framework
06:19

Constructing and Visualizing Models using Mime-based Machine-learning Framework

Published on: July 22, 2025

2.1K
Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model
07:15

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model

Published on: August 16, 2020

7.3K

Related Experiment Videos

Last Updated: Jan 2, 2026

Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances
07:35

Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances

Published on: October 11, 2018

7.9K
Constructing and Visualizing Models using Mime-based Machine-learning Framework
06:19

Constructing and Visualizing Models using Mime-based Machine-learning Framework

Published on: July 22, 2025

2.1K
Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model
07:15

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model

Published on: August 16, 2020

7.3K

Area of Science:

  • Biomedical Informatics
  • Information Retrieval
  • Computational Biology

Background:

  • Exponential growth in biomedical research articles presents challenges for information retrieval.
  • Existing information retrieval techniques struggle to meet complete information needs in biomedicine.
  • Diversity-oriented retrieval is crucial for biomedical information access, balancing relevance and completeness.

Purpose of the Study:

  • To develop a supervised term ranking model for diversity-oriented biomedical retrieval.
  • To improve the relevance and diversity of search results in biomedical information retrieval.
  • To address the limitations of traditional information retrieval methods in the biomedical domain.

Main Methods:

  • A supervised term ranking model was developed using a query expansion process for term refinement.
  • Relevant and diversified terms were selected to enrich original queries.
  • Three diversity-oriented optimization strategies were proposed: diversified term labeling, biomedical resource-based term features, and diversity-oriented group sampling learning.

Main Results:

  • The proposed model significantly improved both the relevance and diversity of search results.
  • Experimental results on TREC Genomics collections validated the model's effectiveness.
  • The expanded queries led to enhanced retrieval performance compared to baseline models.

Conclusions:

  • The three proposed strategies collectively enhance biomedical retrieval performance.
  • The developed model outperforms state-of-the-art baseline models in delivering relevant and diversified results.
  • The study presents a general framework for improving biomedical retrieval, serving as a foundation for future research.