Multimodal Data Visualization and Denoising with Integrated Diffusion Article Swipe

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Manik Kuchroo , Abhinav Godavarthi , Alexander Tong , Guy Wolf , Smita Krishnaswamy ·

YOU? · · 2021 · Open Access · · DOI: https://doi.org/10.48550/arxiv.2102.06757

We propose a method called integrated diffusion for combining multimodal datasets, or data gathered via several different measurements on the same system, to create a joint data diffusion operator. As real world data suffers from both local and global noise, we introduce mechanisms to optimally calculate a diffusion operator that reflects the combined information from both modalities. We show the utility of this joint operator in data denoising, visualization and clustering, performing better than other methods to integrate and analyze multimodal data. We apply our method to multi-omic data generated from blood cells, measuring both gene expression and chromatin accessibility. Our approach better visualizes the geometry of the joint data, captures known cross-modality associations and identifies known cellular populations. More generally, integrated diffusion is broadly applicable to multimodal datasets generated in many medical and biological systems.

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Computer science Visualization Cluster analysis Noise reduction Operator (biology) Noise (video) Data mining Modality (human–computer interaction) Joint (building) Artificial intelligence Diffusion Pattern recognition (psychology) Image (mathematics) Biology Transcription factor Physics Biochemistry Engineering Architectural engineering Thermodynamics Gene Repressor

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Type: preprint
Language: en
Landing Page: http://arxiv.org/abs/2102.06757
PDF: https://arxiv.org/pdf/2102.06757
OA Status: green
Cited By: 1
Related Works: 10
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DOI: https://doi.org/10.48550/arxiv.2102.06757

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Title: Multimodal Data Visualization and Denoising with Integrated Diffusion

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Language: en

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Publication year: 2021

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Publication date: 2021-02-12

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Authors: Manik Kuchroo, Abhinav Godavarthi, Alexander Tong, Guy Wolf, Smita Krishnaswamy

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Landing page: https://arxiv.org/abs/2102.06757

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PDF URL: https://arxiv.org/pdf/2102.06757

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Concepts: Computer science, Visualization, Cluster analysis, Noise reduction, Operator (biology), Noise (video), Data mining, Modality (human–computer interaction), Joint (building), Artificial intelligence, Diffusion, Pattern recognition (psychology), Image (mathematics), Biology, Transcription factor, Physics, Biochemistry, Engineering, Architectural engineering, Thermodynamics, Gene, Repressor

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Cited by: 1

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