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

Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches01:23

Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches

414
Biopharmaceutical studies constitute a vital field aiming to enhance drug delivery methods and refine therapeutic approaches, drawing upon diverse interdisciplinary knowledge. In research methodologies, the choice between controlled and non-controlled studies significantly influences the study's reliability and accuracy.
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast,...
414
Trial and Error and Algorithm01:12

Trial and Error and Algorithm

399
A problem-solving strategy is a plan of action used to find a solution. Different strategies have distinct action plans. Trial and error involves trying different solutions until one works. For instance, to fix a broken printer, you might check ink levels, ensure the paper tray isn't jammed, and verify the printer's connection to your laptop. This method can be time-consuming but is commonly used. Thomas Edison, for example, used trial and error to find a suitable filament for the light...
399
Classification of Neurotransmitters01:30

Classification of Neurotransmitters

5.1K
Neurotransmitters play a crucial role in the communication between neurons in the autonomic nervous system. Neurons in the autonomic nervous system can be cholinergic or adrenergic depending on the neurotransmitters synthesized. Cholinergic neurons use acetylcholine as their primary neurotransmitter. This includes all the preganglionic fibers of the sympathetic and pre- and postganglionic fibers of the parasympathetic nervous systems. In addition, neurons of the somatic nervous system also use...
5.1K
Classification of Leukocytes01:30

Classification of Leukocytes

5.1K
Leukocytes are classified into two groups based on the presence or absence of cytoplasmic granules. Granular leukocytes, which contain granules, belong to the myeloid lineage and are divided into three subtypes: neutrophils, eosinophils, and basophils. These cells are roughly spherical and characterized by the granules in their cytoplasm.
Neutrophils are the most abundant type of granular leukocytes, comprising 50-70% of all leukocytes. They feature small, evenly distributed granules and a...
5.1K
Classification of Bones01:18

Classification of Bones

9.7K
The bones of the human skeletal system are of varied shapes, sizes, and functions. They can be classified based on their shape and function into four major classes: long bones, short bones, flat bones, and irregular bones. Some classifications include a fifth type, the sesamoid bones, as a separate class, whereas others categorize them under short bones.
Long and Short Bones
The appendicular skeleton, particularly the upper and lower limbs, is primarily made of long and short bones. The...
9.7K
Force Classification01:22

Force Classification

2.3K
Forces play a crucial role in the study of physics and engineering. They are essential in describing the motion, behavior, and equilibrium of objects in the physical world. Forces can be classified based on their origin, type, and direction of action.
Contact and non-contact forces are two of the most widely used categories of forces. As the name suggests, contact forces require physical contact between two objects to act upon each other. Examples of contact forces include frictional,...
2.3K

You might also read

Related Articles

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

Sort by
Same author

Integrating a Research-Based Type 1 Diabetes Autoantibody Screening Protocol into an Economically and Culturally Diverse Federally Qualified Health Center.

Academic pediatrics·2026
Same author

A Secular Increase in the Incidence of Islet Autoimmunity Among Colorado Children With Moderate-Risk HLA Genotypes.

Diabetes care·2026
Same author

Computationally Efficient Bayesian Estimation of Graphical Networks for Omics Data.

Journal of proteome research·2026
Same author

Comparative Analysis of Report-back of Research Results Strategies for Personal Chemical Exposure Data.

Journal of exposure science & environmental epidemiology·2026
Same author

Differences in immune cell profiles around the time of islet autoimmunity seroconversion in children with and without type 1 diabetes.

BMJ open diabetes research & care·2026
Same author

Aggregation Methods for Quantifying PTM and Structural Changes in Bottom-Up Proteomics.

Journal of proteome research·2026

Related Experiment Video

Updated: Jan 22, 2026

Flying Insect Detection and Classification with Inexpensive Sensors
05:16

Flying Insect Detection and Classification with Inexpensive Sensors

Published on: October 15, 2014

25.7K

Extending Classification Algorithms to Case-Control Studies.

Bryan Stanfill1, Sarah Reehl1, Lisa Bramer1

  • 1Computing and Analytics Division, National Security Directorate, Pacific Northwest National Laboratory, Richland, WA, USA.

Biomedical Engineering and Computational Biology
|July 20, 2019
PubMed
Summary
This summary is machine-generated.

This study introduces a novel data preprocessing method to enhance classification analysis for

Keywords:
Diabetesbiomarker discoverymachine learningsupport vector machinesvariable selection

More Related Videos

Controlled-release of Chlorine Dioxide in a Perforated Packaging System to Extend the Storage Life and Improve the Safety of Grape Tomatoes
07:07

Controlled-release of Chlorine Dioxide in a Perforated Packaging System to Extend the Storage Life and Improve the Safety of Grape Tomatoes

Published on: April 7, 2017

11.6K
A Structured Rehabilitation Protocol for Improved Multifunctional Prosthetic Control: A Case Study
06:58

A Structured Rehabilitation Protocol for Improved Multifunctional Prosthetic Control: A Case Study

Published on: November 6, 2015

10.2K

Related Experiment Videos

Last Updated: Jan 22, 2026

Flying Insect Detection and Classification with Inexpensive Sensors
05:16

Flying Insect Detection and Classification with Inexpensive Sensors

Published on: October 15, 2014

25.7K
Controlled-release of Chlorine Dioxide in a Perforated Packaging System to Extend the Storage Life and Improve the Safety of Grape Tomatoes
07:07

Controlled-release of Chlorine Dioxide in a Perforated Packaging System to Extend the Storage Life and Improve the Safety of Grape Tomatoes

Published on: April 7, 2017

11.6K
A Structured Rehabilitation Protocol for Improved Multifunctional Prosthetic Control: A Case Study
06:58

A Structured Rehabilitation Protocol for Improved Multifunctional Prosthetic Control: A Case Study

Published on: November 6, 2015

10.2K

Area of Science:

  • Biostatistics
  • Bioinformatics
  • Genomics

Background:

  • Classification techniques are vital for analyzing 'omics data and identifying biomedical outcome markers.
  • Existing methods for case-control studies, like conditional logistic regression, have limitations in handling complex 'omic signatures due to strict modeling assumptions.
  • There's a need for versatile classification approaches applicable to matched case-control study designs.

Purpose of the Study:

  • To develop a generalized data preprocessing step for 'omics data in case-control studies.
  • To enable the application of diverse linear and nonlinear classification algorithms to matched case-control data.
  • To improve biomarker discovery and predictive modeling accuracy in case-control studies.

Main Methods:

  • A novel data preprocessing technique was developed to adapt general classification algorithms for matched case-control data.
  • The method was evaluated using simulated case-control datasets.
  • Performance was compared against existing variable selection methods.

Main Results:

  • The proposed preprocessing step significantly improved both classification and variable selection accuracy across various algorithms.
  • The enhanced methods demonstrated comparable or superior performance to established variable selection techniques.
  • Application to a real-world cohort study of islet autoimmunity in children showed the practical utility of the approach.

Conclusions:

  • The developed preprocessing method effectively generalizes classification algorithms for matched case-control 'omics data.
  • This approach expands the toolkit for biomarker discovery and predictive modeling in case-control studies.
  • The method offers a robust alternative to traditional techniques, enhancing analytical power for complex biological data.