Multi‐Omics Factor Analysis—a framework for unsupervised integration of multi‐omics data sets-Reference-Cited by-同舟云学术

Multi‐Omics Factor Analysis—a framework for unsupervised integration of multi‐omics data sets

Published:2018-06 Issue:6 Volume:14 Page:
ISSN:1744-4292
Container-title:Molecular Systems Biology
language:en
Short-container-title:Mol Syst Biol

Author:

Argelaguet Ricard¹^ORCID,Velten Britta²^ORCID,Arnol Damien¹^ORCID,Dietrich Sascha³^ORCID,Zenz Thorsten³⁴⁵^ORCID,Marioni John C¹⁶⁷^ORCID,Buettner Florian¹⁸^ORCID,Huber Wolfgang²^ORCID,Stegle Oliver¹²^ORCID

Affiliation:

1. European Molecular Biology Laboratory European Bioinformatics Institute Hinxton, Cambridge UK

2. European Molecular Biology Laboratory (EMBL) Heidelberg Germany

3. Heidelberg University Hospital Heidelberg Germany

4. German Cancer Research Center (dkfz) and National Center for Tumor Diseases (NCT) Heidelberg Germany

5. Germany & Hematology University Hospital Zurich and University of Zurich Zurich Switzerland

6. Cancer Research UK Cambridge Institute University of Cambridge Cambridge UK

7. Wellcome Trust Sanger Institute Hinxton, Cambridge UK

8. Helmholtz Zentrum München–German Research Center for Environmental Health Institute of Computational Biology Neuherberg Germany

Funder

Horizon 2020 Framework Programme

Publisher

EMBO

Subject

Applied Mathematics,Computational Theory and Mathematics,General Agricultural and Biological Sciences,General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,Information Systems

Link

https://onlinelibrary.wiley.com/doi/pdf/10.15252/msb.20178124

Reference69 articles.

1. An Integrated Approach to Uncover Drivers of Cancer

2. Heat shock factors: integrators of cell stress, development and lifespan

3. Parallel single-cell sequencing links transcriptional and epigenetic heterogeneity

4. Ontogeny of CpG island methylation and specificity of DNMT3 methyltransferases during embryonic development in the mouse

5. Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing

Cited by 727 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. VIBES: A consensus subtyping of the vaginal microbiota reveals novel classification criteria;Computational and Structural Biotechnology Journal;2024-12

2. Microbiota profiling in esophageal diseases: Novel insights into molecular staining and clinical outcomes;Computational and Structural Biotechnology Journal;2024-12

3. Multi-omics integration analysis: Tools and applications in environmental toxicology;Environmental Pollution;2024-11

4. Imputation of missing values in multi-view data;Information Fusion;2024-11

5. A spatially resolved single-cell lung atlas integrated with clinical and blood signatures distinguishes COVID-19 disease trajectories;Science Translational Medicine;2024-09-11