Jove
Visualize
Contact Us

Related Concept Videos

Genomics02:02

Genomics

35.8K
Genomics is the science of genomes: it is the study of all the genetic material of an organism. In humans, the genome consists of information carried in 23 pairs of chromosomes in the nucleus, as well as mitochondrial DNA. In genomics, both coding and non-coding DNA is sequenced and analyzed. Genomics allows a better understanding of all living things, their evolution, and their diversity. It has a myriad of uses: for example, to build phylogenetic trees, to improve productivity and...
35.8K
Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving01:29

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

40
Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
40
Mechanistic Models: Compartment Models in Individual and Population Analysis01:23

Mechanistic Models: Compartment Models in Individual and Population Analysis

27
Mechanistic models are utilized in individual analysis using single-source data, but imperfections arise due to data collection errors, preventing perfect prediction of observed data. The mathematical equation involves known values (Xi), observed concentrations (Ci), measurement errors (εi), model parameters (ϕj), and the related function (ƒi) for i number of values. Different least-squares metrics quantify differences between predicted and observed values. The ordinary least...
27

You might also read

Related Articles

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

Sort by
Same author

Investigation of a global mouse methylome atlas reveals subtype-specific copy number alterations in pediatric cancer models.

Nature genetics·2025
Same author

OmixLitMiner 2: Guided Literature Mining for Automated Categorization of Marker Candidates in Omics Studies.

Proteomics·2025
Same author

High performance data integration for large-scale analyses of incomplete Omic profiles using Batch-Effect Reduction Trees (BERT).

Nature communications·2025
Same author

Extracellular Vesicles Carrying Tenascin-C are Clinical Biomarkers and Improve Tumor-Derived DNA Analysis in Glioblastoma Patients.

ACS nano·2025
Same author

Assay for Characterizing Adsorption-Properties of Surfaces (APS).

Chemistry (Weinheim an der Bergstrasse, Germany)·2024
Same author

Multiomic profiling of medulloblastoma reveals subtype-specific targetable alterations at the proteome and N-glycan level.

Nature communications·2024
Same journal

Identification of Novel Interacting Proteins of FUZ and GPR161.

Proteomics·2026
Same journal

Light-Induced Proteomic Changes in Pseudomonas aeruginosa Biofilms.

Proteomics·2026
Same journal

Decade-Resolved Proteomic Profiling of Gastric Cancer FFPE Archives: Evaluating Storage-Associated Shifts and Signal Stability Over 50 Years.

Proteomics·2026
Same journal

Proteome-Scale Mining of Metal-Associated Proteins of Monkeypox Virus.

Proteomics·2026
Same journal

Optimized Sample Handling Minimizes Peptide Adsorption to Plastics to Enable High Sensitivity Evosep Based Chemical Proteomics.

Proteomics·2026
Same journal

Toward Predicting Pandemic Potential: A Comparative Analysis of Virus-Host Interactions Between Diverse Influenza A Viruses and the Human Innate Immune System.

Proteomics·2026
See all related articles
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 Experiment Video

Updated: Jun 4, 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

1.1K

Computational Methods for Data Integration and Imputation of Missing Values in Omics Datasets.

Yannis Schumann1, Antonia Gocke2,3, Julia E Neumann2,4

  • 1IT-Department, Deutsches Elektronen-Synchroton DESY, Hamburg, Germany.

Proteomics
|December 31, 2024
PubMed
Summary
This summary is machine-generated.

This review offers a comprehensive guide to computational methods for integrating omics data and imputing missing values. It addresses batch effects and missing data challenges, providing researchers with tools for robust data analysis.

Keywords:
algorithmdata integrationmissing valuesomics

More Related Videos

Author Spotlight: Emerging Technologies and Advanced Tools for Decoding Metabolomics Data Analysis
07:11

Author Spotlight: Emerging Technologies and Advanced Tools for Decoding Metabolomics Data Analysis

Published on: November 10, 2023

2.2K
Untargeted Liquid Chromatography-Mass Spectrometry-Based Metabolomics Analysis of Wheat Grain
07:10

Untargeted Liquid Chromatography-Mass Spectrometry-Based Metabolomics Analysis of Wheat Grain

Published on: March 13, 2020

9.6K

Related Experiment Videos

Last Updated: Jun 4, 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

1.1K
Author Spotlight: Emerging Technologies and Advanced Tools for Decoding Metabolomics Data Analysis
07:11

Author Spotlight: Emerging Technologies and Advanced Tools for Decoding Metabolomics Data Analysis

Published on: November 10, 2023

2.2K
Untargeted Liquid Chromatography-Mass Spectrometry-Based Metabolomics Analysis of Wheat Grain
07:10

Untargeted Liquid Chromatography-Mass Spectrometry-Based Metabolomics Analysis of Wheat Grain

Published on: March 13, 2020

9.6K

Area of Science:

  • Bioinformatics
  • Computational Biology
  • Data Science

Background:

  • Omics data (DNA methylomics, transcriptomics, proteomics) are crucial for research and clinical decisions.
  • Batch effects and missing values are significant challenges hindering omics data integration and analysis.

Purpose of the Study:

  • To provide a comprehensive overview of computational methods for omics data integration and missing value imputation.
  • To define missing value mechanisms and propose a taxonomy for batch effects, especially with missing data.

Main Methods:

  • Systematic literature review and automated document search.
  • Description of 32 data integration methods and 37 missing value imputation algorithms.
  • Evaluation of quantitative methods for selecting appropriate tools.

Main Results:

  • Categorization of 32 data integration methods and 37 imputation algorithms.
  • Formal definitions for missing value mechanisms and a novel taxonomy for batch effects.
  • Discussion on the relevance of batch effects and missing values in omics data.

Conclusions:

  • A proposed three-step workflow for omics data analysis from study conception to final analysis.
  • Recommendations for selecting appropriate methods for imputation and data integration.
  • Identification of future research perspectives in omics data preprocessing.