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image/svg+xml
art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos
Open Access logo, converted into svg, designed by PLoS. This version with transparent background.
http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg
art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos
http://www.plos.org/
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image/svg+xml
art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos
Open Access logo, converted into svg, designed by PLoS. This version with transparent background.
http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg
art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos
http://www.plos.org/
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image/svg+xml
art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos
Open Access logo, converted into svg, designed by PLoS. This version with transparent background.
http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg
art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos
http://www.plos.org/
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image/svg+xml
art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos
Open Access logo, converted into svg, designed by PLoS. This version with transparent background.
http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg
art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos
http://www.plos.org/
GitHub
Software
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image/svg+xml
art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos
Open Access logo, converted into svg, designed by PLoS. This version with transparent background.
http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg
art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos
http://www.plos.org/
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MOFA2 software on GitHub
MOFA2 software on GitHub in support of 'Machine learning for multi-omics data integration in cancer'
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Protocol to perform integrative analysis of high-dimensional single-cell multimodal data using an interpretable deep learning technique
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Multi-omics analysis reveals drivers of loss of β-cell function after newly diagnosed autoimmune type 1 diabetes: An INNODIA
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Computational modeling of single-cell dynamics data
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Multiset correlation and factor analysis enables exploration of multi-omics data
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MOFA+: a probabilistic framework for comprehensive integration of structured single-cell data
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Single-cell multi-omics topic embedding reveals cell-type-specific and COVID-19 severity-related immune signatures
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Identifying temporal and spatial patterns of variation from multimodal data using MEFISTO
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Multi‐Omics‐Based Autophagy‐Related Untypical Subtypes in Patients with Cerebral Amyloid Pathology
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DeepMAPS: Single-cell biological network inference using heterogeneous graph transformer
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