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

Coordinates and Map Projections01:29

Coordinates and Map Projections

308
Coordinates and map projections are essential tools in accurately representing the Earth's surface for various applications, ranging from navigation to spatial analysis. The latitude and longitude coordinate system is a universally recognized framework for defining locations. Latitude specifies the distance of a point north or south of the equator, measured in degrees from 0° at the equator to 90° at the poles. Longitude indicates a location's position east or west of the prime meridian,...
308
Manipulation and Analysis01:21

Manipulation and Analysis

160
GIS manipulation and analysis functions are vital for decision-making and planning. These activities range from data retrieval tasks, such as selecting information based on specific criteria, to advanced analytical techniques that address complex spatial problems.One critical GIS analysis method is overlaying, which combines multiple data layers to examine impacts. For example, overlaying a river-dammed lake boundary with road networks can identify affected infrastructure. Another common...
160
Methods of Obtaining Topography01:25

Methods of Obtaining Topography

180
Topography involves measuring and mapping land elevations, natural features, and artificial structures to create accurate representations of the terrain. Topographic surveying relies on traditional and modern methods, each with distinct advantages and limitations.Traditional Surveying Methods:Transit stadia surveys and plane table surveys were widely used traditional surveying methods. These techniques relied on instruments like theodolites and stadia rods for measuring distances and angles,...
180
Uniform Depth Channel Flow: Problem Solving01:18

Uniform Depth Channel Flow: Problem Solving

248
To calculate the flow rate for a trapezoidal channel, first, identify the bottom width, side slope, and flow depth of the channel. The cross-sectional area (A) corresponding to the depth of flow (y), channel bottom width (B), and side slope (θ) is determined by:Next, calculate the wetted perimeter, which includes the bottom width and the sloped side lengths in contact with the water. Using the values of the cross-sectional area and the wetted perimeter, determine the hydraulic radius by...
248
Distance Measurements by Taping01:18

Distance Measurements by Taping

253
Tapes are essential in surveying for accurate, durable, and short-distance measurements. Made from lightweight, nylon-coated steel, they offer flexibility and strength for rugged outdoor use. The nylon coating protects against rust and wear, extending the tape's life. Standard lengths, around 30 meters, are marked in meters and millimeters for precision.Surveyors select tapes based on site conditions and accuracy needs. Lightweight, nylon-coated tapes are commonly used for ease of handling and...
253

You might also read

Related Articles

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

Sort by
Same author

A cellular view of drought adaptation in sugarcane: multi-omics integration reveals a quadruple module network linking water regulation, oxidative defense, cell wall remodeling, and cell cycle regulation.

PeerJ·2026
Same author

WayFindR: investigating feedback in biological pathways.

NAR genomics and bioinformatics·2026
Same author

Clustering Digestive Tract Tumors Using Transcriptomic and Mutation Data.

Cancers·2026
Same author

[Clinical features and genetic analysis of a child with Progressive familial intrahepatic cholestasis type 5 due to variant of NR1H4 gene].

Zhonghua yi xue yi chuan xue za zhi = Zhonghua yixue yichuanxue zazhi = Chinese journal of medical genetics·2026
Same author

A shape-constrained regression and wild bootstrap framework for reproducible drug synergy testing.

bioRxiv : the preprint server for biology·2026
Same author

OpenScientist: evaluating an open agentic AI co-scientist to accelerate biomedical discovery.

medRxiv : the preprint server for health sciences·2026
Same journal

conMItion: an R package adjusting confounding factors for associations in multi-omics.

Bioinformatics (Oxford, England)·2026
Same journal

SpaMFG: a Spatial Multi-omics Integration Method based on Feature Grouping.

Bioinformatics (Oxford, England)·2026
Same journal

CSCN: Inference of Cell-Specific Causal Networks Using Single-Cell RNA-Seq Data.

Bioinformatics (Oxford, England)·2026
Same journal

Sparse CCA-Based Mediation Analysis with High-Dimensional Exposures and Mediators.

Bioinformatics (Oxford, England)·2026
Same journal

Enhancing Cross-Context Generalization in Drug Perturbation Prediction with a Multimodal Conditional Diffusion Framework.

Bioinformatics (Oxford, England)·2026
Same journal

Primer Design through Submodular Function Estimation.

Bioinformatics (Oxford, England)·2026
See all related articles

Related Experiment Video

Updated: Nov 19, 2025

Measuring the Structure, Composition, and Change of Underwater Environments with Large-area Imaging
09:19

Measuring the Structure, Composition, and Change of Underwater Environments with Large-area Imaging

Published on: April 18, 2025

1.1K

Mercator: a pipeline for multi-method, unsupervised visualization and distance generation.

Zachary B Abrams1, Caitlin E Coombes1,2, Suli Li3

  • 1Department of Biomedical Informatics, The Ohio State University, Columbus, OH 43210, USA.

Bioinformatics (Oxford, England)
|January 30, 2021
PubMed
Summary
This summary is machine-generated.

Unsupervised machine learning helps find hidden patterns in large datasets using distance metrics. The Mercator R package simplifies choosing appropriate distances and visualizations for biological data analysis.

More Related Videos

Visualization Method for Proprioceptive Drift on a 2D Plane Using Support Vector Machine
07:05

Visualization Method for Proprioceptive Drift on a 2D Plane Using Support Vector Machine

Published on: October 27, 2016

9.4K
Visualization and Quantification of High-Dimensional Cytometry Data using Cytofast and the Upstream Clustering Methods FlowSOM and Cytosplore
06:01

Visualization and Quantification of High-Dimensional Cytometry Data using Cytofast and the Upstream Clustering Methods FlowSOM and Cytosplore

Published on: December 12, 2019

8.7K

Related Experiment Videos

Last Updated: Nov 19, 2025

Measuring the Structure, Composition, and Change of Underwater Environments with Large-area Imaging
09:19

Measuring the Structure, Composition, and Change of Underwater Environments with Large-area Imaging

Published on: April 18, 2025

1.1K
Visualization Method for Proprioceptive Drift on a 2D Plane Using Support Vector Machine
07:05

Visualization Method for Proprioceptive Drift on a 2D Plane Using Support Vector Machine

Published on: October 27, 2016

9.4K
Visualization and Quantification of High-Dimensional Cytometry Data using Cytofast and the Upstream Clustering Methods FlowSOM and Cytosplore
06:01

Visualization and Quantification of High-Dimensional Cytometry Data using Cytofast and the Upstream Clustering Methods FlowSOM and Cytosplore

Published on: December 12, 2019

8.7K

Area of Science:

  • Bioinformatics
  • Computational Biology
  • Data Science

Background:

  • Unsupervised machine learning uncovers latent patterns in large-scale data through distance calculations.
  • Visualizing high-dimensional data aids in identifying subtypes and interactions within complex datasets.
  • A wide array of distance metrics and visualization methods exist, each with unique advantages and limitations.

Purpose of the Study:

  • To introduce the Mercator R package for simplifying unsupervised analysis of biological data.
  • To provide a user-friendly pipeline for selecting biologically meaningful distance metrics and visualization tools.
  • To facilitate exploratory pattern recognition and the generation of publication-quality graphics from high-throughput data.

Main Methods:

  • The Mercator R package offers 10 distinct distance metrics suitable for binary, categorical, and continuous data.
  • It integrates 5 standard and high-dimensional graphics tools for data visualization.
  • The package is freely available on the Comprehensive R Archive Network (CRAN).

Main Results:

  • Mercator enables researchers to select appropriate distance metrics for diverse data types.
  • The package facilitates the visualization of complex, high-dimensional biological data.
  • It streamlines the process of unsupervised analysis from pattern discovery to graphic generation.

Conclusions:

  • Mercator provides a robust and accessible tool for unsupervised learning in biological research.
  • The package empowers informaticians and biologists to perform sophisticated data analysis with ease.
  • Mercator aids in uncovering biological insights and producing high-quality scientific visualizations.