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

The Extracellular Matrix01:42

The Extracellular Matrix

89.3K
Overview
89.3K
Theory of Attribution I: Correspondent Inference Theory01:15

Theory of Attribution I: Correspondent Inference Theory

591
Correspondent inference theory, proposed by Jones and Davis in 1965, seeks to explain how individuals infer stable personality traits from observed behaviors. It suggests that people attribute actions to underlying dispositions rather than external circumstances, particularly when the behavior appears intentional and socially significant.Voluntary Behavior and Dispositional AttributionAccording to this theory, individuals are more likely to attribute behavior to personal traits when it appears...
591
Space Trusses01:25

Space Trusses

1.3K
A space truss is a three-dimensional counterpart of a planar truss. These structures consist of members connected at their ends, often utilizing ball-and-socket joints to create a stable and versatile framework. The space truss is widely used in various construction projects due to its adaptability and capacity to withstand complex loads.
At the core of a space truss lies the fundamental unit known as the tetrahedron. This structure is composed of six members that form a three-dimensional shape...
1.3K
State Space Representation01:27

State Space Representation

593
The frequency-domain technique, commonly used in analyzing and designing feedback control systems, is effective for linear, time-invariant systems. However, it falls short when dealing with nonlinear, time-varying, and multiple-input multiple-output systems. The time-domain or state-space approach addresses these limitations by utilizing state variables to construct simultaneous, first-order differential equations, known as state equations, for an nth-order system.
Consider an RLC circuit, a...
593
Cluster Sampling Method01:20

Cluster Sampling Method

14.8K
Appropriate sampling methods ensure that samples are drawn without bias and accurately represent the population. Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest.
To choose a cluster sample, divide the population into clusters (groups) and then randomly select some of the clusters. All the members from these clusters are in the cluster sample. For example, if you randomly sample four departments from your...
14.8K
Vesicular Tubular Clusters01:45

Vesicular Tubular Clusters

3.2K
After budding out from the ER membrane, some COPII vesicles lose their coat and fuse with one another to form larger vesicles and interconnected tubules called vesicular tubular clusters or VTCs. These clusters constitute a compartment at the ER-Golgi interface known as ERGIC (Endoplasmic Reticulum Golgi Intermediate Compartment). The ERGIC is a mobile membrane-bound cargo transport system that sorts proteins secreted from ER and delivers them to the Golgi.
With the help of motor proteins such...
3.2K

You might also read

Related Articles

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

Sort by
Same author

Applications of the Human Bone Marrow Organoid System to Study Hematopoiesis and Anemia Stress.

Tissue engineering. Part C, Methods·2026
Same author

BMX-001 acts as a selective chemoradioprotector in rectal cancer.

Redox biochemistry and chemistry·2026
Same author

MINTsC learns multi-way chromatin interactions from single cell high throughput chromatin conformation data.

Nature communications·2026
Same author

Predictive modeling of signal-responsive cis-elements in human red blood cell precursors.

Nucleic acids research·2026
Same author

A stress-induced PI3P complex controls autophagy in erythroid precursors.

iScience·2026
Same author

MINTsC learns multi-way chromatin interactions from single cell high throughput chromatin conformation data.

bioRxiv : the preprint server for biology·2026

Related Experiment Video

Updated: Feb 8, 2026

Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations
08:03

Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations

Published on: December 7, 2021

2.8K

A Hierarchical Framework for State-Space Matrix Inference and Clustering.

Chandler Zuo1,2, Kailei Chen1,2, Kyle J Hewitt3

  • 1Department of Statistics, University of Wisconsin, Madison, WI, U.S.A.

The Annals of Applied Statistics
|June 19, 2018
PubMed
Summary

A new framework called MBASIC (Matrix Based Analysis for State-space Inference and Clustering) integrates genomic and epigenomic data. It accurately infers hidden states and clusters observational units, improving data analysis in genomics research.

More Related Videos

Versatile Technique to Produce a Hierarchical Design in Nanoporous Gold
05:28

Versatile Technique to Produce a Hierarchical Design in Nanoporous Gold

Published on: February 10, 2023

2.2K
Experimental Investigation of the Hierarchical Control in DC Microgrids Using a Real-time Simulator
06:04

Experimental Investigation of the Hierarchical Control in DC Microgrids Using a Real-time Simulator

Published on: February 14, 2025

1.1K

Related Experiment Videos

Last Updated: Feb 8, 2026

Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations
08:03

Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations

Published on: December 7, 2021

2.8K
Versatile Technique to Produce a Hierarchical Design in Nanoporous Gold
05:28

Versatile Technique to Produce a Hierarchical Design in Nanoporous Gold

Published on: February 10, 2023

2.2K
Experimental Investigation of the Hierarchical Control in DC Microgrids Using a Real-time Simulator
06:04

Experimental Investigation of the Hierarchical Control in DC Microgrids Using a Real-time Simulator

Published on: February 14, 2025

1.1K

Area of Science:

  • Genomics and Epigenomics
  • Computational Biology
  • Statistical Modeling

Background:

  • Genomic and epigenomic studies increasingly involve integrative analysis of multiple experimental datasets.
  • Existing methods lack a unified framework for inferring hidden states and clustering observational units across diverse datasets.
  • Accurate inference and clustering are crucial for understanding complex biological systems.

Purpose of the Study:

  • To develop a novel modeling framework, MBASIC (Matrix Based Analysis for State-space Inference and Clustering), for integrative genomic and epigenomic data analysis.
  • To enable simultaneous inference of hidden activity states and clustering of observational units.
  • To provide a flexible and accurate computational tool for large-scale biological data.

Main Methods:

  • MBASIC employs a two-part approach: state-space mapping and state-space clustering.
  • State-space mapping infers activation states across conditions; state-space clustering uses a finite mixture model.
  • An Expectation-Maximization algorithm simultaneously estimates both components, accommodating various data distributions and experimental heterogeneity.

Main Results:

  • MBASIC demonstrated high accuracy in recovering underlying state-space variables and clustering structures in simulation studies.
  • Applied to ENCODE project data, MBASIC successfully grouped genes by transcription factor occupancy and identified functional GATA2 binding site groups.
  • MBASIC achieved higher raw data fidelity compared to traditional two-step analysis methods.

Conclusions:

  • MBASIC provides a robust and versatile framework for integrative analysis of large-scale genomic and epigenomic datasets.
  • The method effectively infers hidden states and clusters biological units, offering superior performance over existing approaches.
  • MBASIC has broad applicability in diverse genome research problems, enhancing the interpretation of complex biological data.