Application of Unsupervised Multi-Omic Factor Analysis to Uncover Patterns of Variation and Molecular Processes Linked to Cardiovascular Disease

Please note that all translations are automatically generated. Click here for the English version.

996 Views

•

08:51 min

•

September 20th, 2024

DOI :

10.3791/66659-v

September 20th, 2024

•

Corinna Losert¹^,², Kami Pekayvaz³^,⁴, Viktoria Knottenberg³^,⁴, Leo Nicolai³^,⁴, Konstantin Stark³^,⁴, Matthias Heinig¹^,²^,⁴

¹Institute of Computational Biology, German Research Center for Environmental Health, Helmholtz Zentrum München, ²Department of Computer Science, TUM School of Computation, Information and Technology, Technical University of Munich, ³Medizinische Klinik und Poliklinik I University Hospital Ludwig-Maximilian University, ⁴German Centre for Cardiovascular Research (DZHK), partner site Munich Heart Alliance

Podsumowanie

Przeglądaj więcej filmów

Unsupervised Multi Omic Factor Analysis

Cardiovascular Disease

Multi omics Data

Clinical Cohort

Heart Attack Patients

Acute Coronary Syndromes

Rozdziały w tym wideo

0:00

Introduction

1:27

Preparation, Pre‐Processing, and Harmonization of Data for MOFA Analysis

5:35

Running MOFA for Unsupervised Data Exploration of Complex Multi‐Omics Datasets

Powiązane Filmy

10:40

Analysis of Cap-binding Proteins in Human Cells Exposed to Physiological Oxygen Conditions

7.7K Views

10:39

Chromatin Spread Preparations for the Analysis of Mouse Oocyte Progression from Prophase to Metaphase II

15.2K Views

12:54

Real-time Analysis of Transcription Factor Binding, Transcription, Translation, and Turnover to Display Global Events During Cellular Activation

13.4K Views

06:11

Production and Purification of Baculovirus for Gene Therapy Application

14.6K Views

07:59

An Optogenetic Method to Control and Analyze Gene Expression Patterns in Cell-to-cell Interactions

7.6K Views

09:34

Targeted Next-generation Sequencing and Bioinformatics Pipeline to Evaluate Genetic Determinants of Constitutional Disease

33.4K Views

09:34

A Combinatorial Single-cell Approach to Characterize the Molecular and Immunophenotypic Heterogeneity of Human Stem and Progenitor Populations

6.6K Views

07:15

Determining the Likelihood of Variant Pathogenicity Using Amino Acid-level Signal-to-Noise Analysis of Genetic Variation

10.9K Views

11:25

Enhanced Yeast One-hybrid Screens To Identify Transcription Factor Binding To Human DNA Sequences

7.8K Views

09:05

Tomato Root Transformation Followed by Inoculation with Ralstonia Solanacearum for Straightforward Genetic Analysis of Bacterial Wilt Disease

11.5K Views