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

Analysis of Population Pharmacokinetic Data01:12

Analysis of Population Pharmacokinetic Data

758
Analysis of population pharmacokinetic data involves studying the behavior of drugs within diverse populations to understand their pharmacokinetic parameters. Traditional pharmacokinetic methods typically involve collecting samples from a few individuals and estimating these parameters. While these methods are commonly used, they have limitations in capturing the variability in drug response among individuals or heterogeneous populations. Population pharmacokinetics is employed to address these...
758
Overview of Microsoft Excel as a Data Analysis Tool01:13

Overview of Microsoft Excel as a Data Analysis Tool

1.6K
Microsoft Excel is a cornerstone tool for data analysis and statistical operations, offering a wide array of functionalities to manage, analyze, and visualize data efficiently. Recognized for its versatility, Excel facilitates the performance of basic to complex statistical operations, serving as an indispensable asset for analysts, researchers, and students alike. Excel's significance in data analysis emanates from its spreadsheet environment, where data can be organized in rows and...
1.6K
Performing a Simple Data Analysis using MS-Excel Function01:17

Performing a Simple Data Analysis using MS-Excel Function

1.1K
Microsoft Excel offers a suite of functions and tools ideal for statistical analysis, making it accessible to students and researchers. This article outlines fundamental Excel functions pivotal for data analysis.
SUM: This function calculates the total sum of a range of values. It's the foundation for aggregating data, essential for determining overall trends and totals in datasets.
AVERAGE: It computes the mean value of a given set of numbers, providing a quick insight into the central...
1.1K
Statistical Software for Data Analysis and Clinical Trials01:12

Statistical Software for Data Analysis and Clinical Trials

1.6K
Statistical software is pivotal in data analysis and clinical trials by providing tools to analyze data, draw conclusions, and make predictions. These software packages range from simple data management applications to complex analytical platforms, supporting various statistical tests, models, and simulation techniques. Their significance lies in their ability to handle vast amounts of data with precision and efficiency, enabling researchers to validate hypotheses, identify trends, and make...
1.6K
Tumor Progression02:07

Tumor Progression

7.4K
Tumor progression is a phenomenon where the pre-formed tumor acquires successive mutations to become clinically more aggressive and malignant. In the 1950s, Foulds first described the stepwise progression of cancer cells through successive stages.
Colon cancer is one of the best-documented examples of tumor progression. Early mutation in the APC gene in colon cells causes a small growth on the colon wall called a polyp. With time, this polyp grows into a benign, pre-cancerous tumor. Further...
7.4K
Integration of Synaptic Events01:28

Integration of Synaptic Events

4.1K
Synaptic integration mainly includes the summation of graded potentials. Graded potentials, regardless of their type, cause subtle alterations in membrane voltage, resulting in either depolarization or hyperpolarization. These incremental changes, when combined or summed, can propel the neuron toward its threshold. Consider, for example, a membrane experiencing a +15 mV shift, causing it to depolarize from -70 mV to -55 mV. In this scenario, graded potentials govern the membrane's ability to...
4.1K

You might also read

Related Articles

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

Sort by
Same author

Hemodynamics Beyond Ischemic Zone Underlies Early Neurological Deterioration in Minor Stroke with Large Vessel Occlusion.

Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics·2026
Same author

Transcriptomic analysis of response to high-temperature stress in cotton.

Plant physiology and biochemistry : PPB·2026
Same author

Suppressor tRNA-mediated conditionally replicating live vaccine effectively protects pigs against Seneca Valley virus challenge.

NPJ vaccines·2026
Same author

Ultraviolet light-induced C-C bond cleavage of <i>tert</i>-cycloalkanols using anthraquinone.

Chemical communications (Cambridge, England)·2026
Same author

Modified Surgical Technique Combined with Radiation Therapy for Keloid Management.

Aesthetic plastic surgery·2026
Same author

Weighted modal domain beamforming for reverberation suppression based on energy differences between target echoes and reverberation.

The Journal of the Acoustical Society of America·2026
Same journal

MesoSplats: Texture Synthesis with Gaussian Splatting.

IEEE transactions on visualization and computer graphics·2026
Same journal

GLLA: A Unified Force-Directed Graph Layout Framework Supporting Local Adjustments.

IEEE transactions on visualization and computer graphics·2026
Same journal

Multi-Perception Crowd: Learning to combine entity and implicit perception for diverse crowd simulation.

IEEE transactions on visualization and computer graphics·2026
Same journal

Hiding in Plain Sight: Camouflaging Real-world Objects.

IEEE transactions on visualization and computer graphics·2026
Same journal

RTF2Mesh: Restricted Tangent Face Based Mesh Compression With Neural Displacement Fields.

IEEE transactions on visualization and computer graphics·2026
Same journal

Practical Occluder Generation for Mobile Games.

IEEE transactions on visualization and computer graphics·2026
See all related articles

Related Experiment Video

Updated: Feb 6, 2026

Author Spotlight: Investigating the Role of Repetitive DNA Misregulation in Cancer Initiation and Immunotherapy Resistance
04:58

Author Spotlight: Investigating the Role of Repetitive DNA Misregulation in Cancer Initiation and Immunotherapy Resistance

Published on: December 13, 2024

4.1K

Visual Progression Analysis of Event Sequence Data.

Shunan Guo, Zhuochen Jin, David Gotz

    IEEE Transactions on Visualization and Computer Graphics
    |August 24, 2018
    PubMed
    Summary
    This summary is machine-generated.

    This study introduces an unsupervised algorithm to identify progression stages in event sequence data. The method reveals critical events and uses visualization to understand evolving patterns across stages.

    More Related Videos

    Facilitating the Analysis of Immunological Data with Visual Analytic Techniques
    10:58

    Facilitating the Analysis of Immunological Data with Visual Analytic Techniques

    Published on: January 2, 2011

    10.5K
    High Density Event-related Potential Data Acquisition in Cognitive Neuroscience
    08:33

    High Density Event-related Potential Data Acquisition in Cognitive Neuroscience

    Published on: April 16, 2010

    13.0K

    Related Experiment Videos

    Last Updated: Feb 6, 2026

    Author Spotlight: Investigating the Role of Repetitive DNA Misregulation in Cancer Initiation and Immunotherapy Resistance
    04:58

    Author Spotlight: Investigating the Role of Repetitive DNA Misregulation in Cancer Initiation and Immunotherapy Resistance

    Published on: December 13, 2024

    4.1K
    Facilitating the Analysis of Immunological Data with Visual Analytic Techniques
    10:58

    Facilitating the Analysis of Immunological Data with Visual Analytic Techniques

    Published on: January 2, 2011

    10.5K
    High Density Event-related Potential Data Acquisition in Cognitive Neuroscience
    08:33

    High Density Event-related Potential Data Acquisition in Cognitive Neuroscience

    Published on: April 16, 2010

    13.0K

    Area of Science:

    • Data Science
    • Computational Biology
    • Network Security

    Background:

    • Event sequence data is prevalent across domains like healthcare and security.
    • Analyzing temporal patterns in event sequences aids in understanding complex processes.
    • Identifying latent progression stages in event data remains a challenge.

    Purpose of the Study:

    • To propose an unsupervised algorithm for identifying semantically meaningful progression stages in event sequence data.
    • To pinpoint critical events that define these progression stages.
    • To develop a visualization system (ET2) for interactive exploration of stage evolution.

    Main Methods:

    • The algorithm involves three steps: event representation estimation, sequence warping and alignment, and sequence segmentation.
    • A novel visualization system, ET2, is presented for illustrating stage analysis results.
    • Evaluation includes case studies, expert interviews, and performance assessments.

    Main Results:

    • The proposed algorithm effectively identifies latent progression stages and critical defining events.
    • The ET2 visualization system aids in understanding evolutionary patterns across stages.
    • Evaluations demonstrate the utility and performance of the algorithm and visualization.

    Conclusions:

    • The unsupervised stage analysis algorithm offers a robust method for uncovering hidden structures in event sequence data.
    • The ET2 system provides valuable insights into dynamic processes through interactive visualization.
    • This work addresses a significant challenge in analyzing complex, time-stamped event data.