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 Experiment Videos

Cancer gene search with data-mining and genetic algorithms.

Shital Shah1, Andrew Kusiak

  • 1Intelligent Systems Laboratory, MIE, 2139 Seamans Center, The University of Iowa, Iowa City, IA 52242-1527, USA.

Computers in Biology and Medicine
|April 18, 2006
PubMed
Summary

This study introduces an integrated gene-search algorithm for analyzing gene expression data to accurately detect and classify cancers like ovarian, prostate, and lung cancer, improving patient outcomes.

Related Concept Videos

You might also read

Related Articles

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

Sort by
Same author

Massive Intramuscular Haematoma Due to Acquired Factor V Deficiency.

EJHaem·2025
Same author

Clinical and radiological septic joint analysis of spontaneous sternoclavicular joint infections: achieving the best outcomes-a systems engineering approach.

European journal of cardio-thoracic surgery : official journal of the European Association for Cardio-thoracic Surgery·2024
Same author

Cross-sectional analysis of avoidable emergency department visits before and during the COVID-19 pandemic.

The American journal of emergency medicine·2023
Same author

Impact of a telemedicine program on avoidable and unavoidable emergency department visits during the COVID-19 pandemic.

The American journal of emergency medicine·2023
Same author

Trends and risk factors in tribal vs nontribal preterm deliveries in Gujarat, India.

AJOG global reports·2022
Same author

Opioid and Nonopioid Analgesic Prescriptions for Dental Visits in the Emergency Department, 2015-2017 National Hospital Ambulatory Medical Care Survey.

Preventing chronic disease·2021

Area of Science:

  • Oncology
  • Bioinformatics
  • Computational Biology

Background:

  • Cancer is a leading cause of death, emphasizing the need for early and accurate detection.
  • Gene expression data analysis is crucial for cancer identification, classification, treatment selection, and drug development.

Purpose of the Study:

  • To propose an integrated gene-search algorithm for analyzing gene expression data to improve cancer detection and classification.
  • To identify significant genes associated with cancer types and enhance prediction accuracy.

Main Methods:

  • Utilized gene expression datasets for ovarian, prostate, and lung cancer.
  • Developed an integrated algorithm combining a genetic algorithm and correlation-based heuristics for data preprocessing and mining.
  • Employed decision tree and support vector machine algorithms for predictions, with bagging and stacking for accuracy enhancement.

Related Experiment Videos

Main Results:

  • The proposed algorithm achieved high classification accuracy in identifying significant genes.
  • Enhanced classification accuracy was observed after applying bagging and stacking techniques.
  • Results demonstrated the algorithm's effectiveness in cancer detection and classification.

Conclusions:

  • The integrated gene-search algorithm provides a robust method for cancer detection and classification using gene expression data.
  • Mapping genotype to phenotype parameters can simplify and reduce the cost of cancer diagnostics.
  • This approach holds potential for advancing personalized cancer treatment and drug discovery.