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

DNA Microarrays02:34

DNA Microarrays

20.8K
Microarrays are high-throughput and relatively inexpensive assays that can be automated to analyze large quantities of data at a time. They are used in genome-wide studies to compare gene or protein expression under two varied conditions, such as healthy and diseased states. Microarrays consist of glass or silica slides on which probe molecules are covalently attached through surface functionalization. Most commonly, the slides are prepared through the chemisorption of silanes to silica...
20.8K
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

5.2K
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...
5.2K
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
Classification of Illness01:17

Classification of Illness

8.6K
The meaning of illness is individualized to each person who experiences an alteration in health. In contrast, disease is a medical term indicating a pathological change in the structure and function of the body or mind. It is a condition that has specific symptoms and boundaries.
An illness is a response to a disease in which the person's level of functioning is changed compared with a previous level. The general classification of illness includes acute and chronic.
Acute illness is severe...
8.6K

You might also read

Related Articles

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

Sort by
Same author

Shallow Learning Techniques for Early Detection and Classification of Cyberattacks over MQTT IoT Networks.

Sensors (Basel, Switzerland)·2026
Same author

Machine learning techniques to predict different levels of hospital care of CoVid-19.

Applied intelligence (Dordrecht, Netherlands)·2021
Same author

Dating Victimization Among Chilean University Students: Gender Roles and Christian Spirituality.

International journal of psychological research·2020
Same author

A Review of Microarray Datasets: Where to Find Them and Specific Characteristics.

Methods in molecular biology (Clifton, N.J.)·2019
Same author

LANN-SVD: A Non-Iterative SVD-Based Learning Algorithm for One-Layer Neural Networks.

IEEE transactions on neural networks and learning systems·2017
Same author

Distributed One-Class Support Vector Machine.

International journal of neural systems·2015

Related Experiment Video

Updated: Jan 24, 2026

Performing Custom MicroRNA Microarray Experiments
07:04

Performing Custom MicroRNA Microarray Experiments

Published on: October 28, 2011

19.9K

Classification of Microarray Data.

Noelia Sánchez-Maroño1, Oscar Fontenla-Romero2, Beatriz Pérez-Sánchez2

  • 1Computer Science Department, Universidade da Coruña, A Coruña, Spain. nsanchez@udc.es.

Methods in Molecular Biology (Clifton, N.J.)
|May 23, 2019
PubMed
Summary
This summary is machine-generated.

This study reviews DNA microarray data classification methods for disease diagnosis. It analyzes strategies, dimensionality reduction, and data balancing techniques, highlighting successful approaches and datasets in bioinformatics.

Keywords:
Classification methodsClassification problemsData preprococessingMachine learningMicroarray

More Related Videos

Manual Construction of a Tissue Microarray using the Tape Method and a Handheld Microarrayer
12:03

Manual Construction of a Tissue Microarray using the Tape Method and a Handheld Microarrayer

Published on: June 10, 2022

14.3K
Microarray Analysis for Saccharomyces cerevisiae
13:17

Microarray Analysis for Saccharomyces cerevisiae

Published on: April 7, 2011

14.1K

Related Experiment Videos

Last Updated: Jan 24, 2026

Performing Custom MicroRNA Microarray Experiments
07:04

Performing Custom MicroRNA Microarray Experiments

Published on: October 28, 2011

19.9K
Manual Construction of a Tissue Microarray using the Tape Method and a Handheld Microarrayer
12:03

Manual Construction of a Tissue Microarray using the Tape Method and a Handheld Microarrayer

Published on: June 10, 2022

14.3K
Microarray Analysis for Saccharomyces cerevisiae
13:17

Microarray Analysis for Saccharomyces cerevisiae

Published on: April 7, 2011

14.1K

Area of Science:

  • Bioinformatics
  • Computational Biology
  • Genomics

Background:

  • DNA microarray data classification is crucial for disease diagnosis.
  • Accurate classification aids in patient management and treatment strategies.

Purpose of the Study:

  • To present key aspects of DNA microarray classification.
  • To review and analyze existing classification strategies and methods.

Main Methods:

  • Analysis of classification strategies for microarray data.
  • Review of prominent machine learning methods in the literature.
  • Exploration of dimensionality reduction and data imputation techniques.

Main Results:

  • Identified effective strategies for microarray data classification.
  • Highlighted successful techniques and commonly used datasets.
  • Addressed challenges like imbalanced and missing data.

Conclusions:

  • The review provides a comprehensive overview of successful microarray classification techniques.
  • It serves as a guide for researchers in selecting appropriate methods and datasets for disease diagnosis.