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

You might also read

Related Articles

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

Sort by
Same author

Evaluating Cross-Platform Batch Correction Methods for Integrated Microarray and RNA-seq Data Analysis.

bioRxiv : the preprint server for biology·2026
Same author

Genetic diversity of collaborative cross mice enables the establishment of a novel <i>Chlamydia muridarum</i> female genital tract infection model.

Infection and immunity·2026
Same author

In Situ Tandem Synthesis of Charged Boron-Oxo Clusters into Highly Ordered Architectures.

Angewandte Chemie (International ed. in English)·2025
Same author

CT-based radiomics deep learning signatures for noninvasive prediction of early recurrence after radical surgery in locally advanced colorectal cancer: A multicenter study.

European journal of surgical oncology : the journal of the European Society of Surgical Oncology and the British Association of Surgical Oncology·2025
Same author

Biomass and valve length of diatoms living on tree bark as novel indicators of atmospheric environment changes.

Environmental research·2025
Same author

Gender-specific patterns of external occipital protuberance hyperplasia: associations with nuchal ligament ossification and cervical sagittal imbalance in myelopathy patients.

Asian spine journal·2025
Same journal

Layered social competition coordinates reproductive hierarchy formation in ants.

bioRxiv : the preprint server for biology·2026
Same journal

Combination epigenetic-targeted therapy increases the immunogenicity of poorly immunogenic sarcomas.

bioRxiv : the preprint server for biology·2026
Same journal

Loss of LanC-like proteins delays post-injury regeneration of aging skeletal muscles.

bioRxiv : the preprint server for biology·2026
Same journal

Integrative Transfer Network: Deep Transfer Learning Across Populations and Prediction Targets.

bioRxiv : the preprint server for biology·2026
Same journal

Confidence-supported label-free metabolic imaging with FPhaS phase autofluorescence microscopy.

bioRxiv : the preprint server for biology·2026
Same journal

Sequence-encoded autoinhibition couples mRNA decapping activity to phase separation.

bioRxiv : the preprint server for biology·2026
See all related articles

Related Experiment Video

Updated: Jul 8, 2025

Author Spotlight: Integrated Multi-Omics Analysis for Unveiling Multicellular Immune Signatures in Clinical Heart Attack Cohorts
08:51

Author Spotlight: Integrated Multi-Omics Analysis for Unveiling Multicellular Immune Signatures in Clinical Heart Attack Cohorts

Published on: September 20, 2024

1.3K

Adaptive Regularized Tri-Factor Non-Negative Matrix Factorization for Cell Type Deconvolution.

Tianyi Liu, Chuwen Liu, Quefeng Li

    Biorxiv : the Preprint Server for Biology
    |December 18, 2023
    PubMed
    Summary
    This summary is machine-generated.

    This study introduces ARTdeConv, a novel method for cell type deconvolution from gene expression data. ARTdeConv accurately estimates cell proportions, outperforming existing methods and aiding disease research.

    More Related Videos

    Large-scale Reconstructions and Independent, Unbiased Clustering Based on Morphological Metrics to Classify Neurons in Selective Populations
    12:27

    Large-scale Reconstructions and Independent, Unbiased Clustering Based on Morphological Metrics to Classify Neurons in Selective Populations

    Published on: February 15, 2017

    7.0K
    A High-throughput Cell Microarray Platform for Correlative Analysis of Cell Differentiation and Traction Forces
    12:04

    A High-throughput Cell Microarray Platform for Correlative Analysis of Cell Differentiation and Traction Forces

    Published on: March 1, 2017

    9.7K

    Related Experiment Videos

    Last Updated: Jul 8, 2025

    Author Spotlight: Integrated Multi-Omics Analysis for Unveiling Multicellular Immune Signatures in Clinical Heart Attack Cohorts
    08:51

    Author Spotlight: Integrated Multi-Omics Analysis for Unveiling Multicellular Immune Signatures in Clinical Heart Attack Cohorts

    Published on: September 20, 2024

    1.3K
    Large-scale Reconstructions and Independent, Unbiased Clustering Based on Morphological Metrics to Classify Neurons in Selective Populations
    12:27

    Large-scale Reconstructions and Independent, Unbiased Clustering Based on Morphological Metrics to Classify Neurons in Selective Populations

    Published on: February 15, 2017

    7.0K
    A High-throughput Cell Microarray Platform for Correlative Analysis of Cell Differentiation and Traction Forces
    12:04

    A High-throughput Cell Microarray Platform for Correlative Analysis of Cell Differentiation and Traction Forces

    Published on: March 1, 2017

    9.7K

    Area of Science:

    • Computational Biology
    • Genomics
    • Bioinformatics

    Background:

    • Accurate cell type deconvolution from bulk gene expression is vital for disease research.
    • Existing methods struggle with incomplete signatures, partial information, and varying mRNA amounts, leading to biased estimates.
    • External reference data on cell type proportions is often underutilized.

    Purpose of the Study:

    • To develop an advanced deconvolution method addressing limitations of current approaches.
    • To improve the accuracy of cell type proportion estimation and cell-type specific analysis.
    • To provide a robust tool for biological and medical research.

    Main Methods:

    • Introduced Adaptive Regularized Tri-factor non-negative matrix factorization (ARTdeConv).
    • Established rigorous numerical convergence for the ARTdeConv algorithm.
    • Validated performance through benchmark simulations and real-world data analysis.

    Main Results:

    • ARTdeConv demonstrated superior performance over state-of-the-art methods in simulations.
    • Achieved highly accurate cell proportion estimates in a vaccine study, correlating strongly with flow cytometry data.
    • Revealed immunological patterns in COVID-19 patients consistent with existing findings.

    Conclusions:

    • ARTdeConv offers a significant advancement in cell type deconvolution accuracy.
    • The method effectively integrates biological information and reference data.
    • ARTdeConv is available as an R package, facilitating its application in research.