ArticleNature biotechnology2022
Multiscale PHATE identifies multimodal signatures of COVID-19.
Article in Nature biotechnology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.
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Who cites it
38 citing papers in PubMed.
- Gut microbiome modulation by Veillonella ratti induces resistance to EAE pathogenesis via microbe-derived metabolites.Experimental & molecular medicine · 2026Article
- Single-Cell and Spatial Omics: Methods and Applications.MedComm · 2026Review
- CellPhenoX: An Explainable Machine Learning Method for Identifying Cell Phenotypes To Predict Clinical Outcomes from Single-Cell Multi-Omics.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Connecting chemical structure to single cell signaling profiles.Communications biology · 2025Article
- Conserved noncoding cis elements associated with hibernation modulate metabolic and behavioral adaptations in mice.Science (New York, N.Y.) · 2025Article
- Joint representation and visualization of derailed cell states with Decipher.Genome biology · 2025Article
- Applying multimodal AI to physiological waveforms improves genetic prediction of cardiovascular traits.American journal of human genetics · 2025Article
- Biases in machine-learning models of human single-cell data.Nature cell biology · 2025Review
- Starfysh integrates spatial transcriptomic and histologic data to reveal heterogeneous tumor-immune hubs.Nature biotechnology · 2025Article
- Diffusive topology preserving manifold distances for single-cell data analysis.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Detecting global and local hierarchical structures in cell-cell communication using CrossChat.Nature communications · 2024Article
- Mapping the gene space at single-cell resolution with gene signal pattern analysis.Nature computational science · 2024Article
- QOT: Quantized Optimal Transport for sample-level distance matrix in single-cell omics.Briefings in bioinformatics · 2024Article
- Single-cell spatial transcriptomics in cardiovascular development, disease, and medicine.Genes & diseases · 2024Review
- Multi-omic analysis of Huntington's disease reveals a compensatory astrocyte state.Nature communications · 2024Article
- Building and analyzing metacells in single-cell genomics data.Molecular systems biology · 2024Review
- Geometric Scattering on Measure Spaces.Applied and computational harmonic analysis · 2024Article
- Archetype analysis and the PHATE algorithm as methods to describe and visualize pregnant women's levels of physical activity knowledge.BMC public health · 2024Article
- Utilizing multimodal AI to improve genetic analyses of cardiovascular traits.medRxiv : the preprint server for health sciences · 2024Article
- Toward the novel AI tasks in infection biology.mSphere · 2024Review
Corrections and comments
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Authors and funding
31 authors.
Funding
Abstract
As the biomedical community produces datasets that are increasingly complex and high dimensional, there is a need for more sophisticated computational tools to extract biological insights. We present Multiscale PHATE, a method that sweeps through all levels of data granularity to learn abstracted biological features directly predictive of disease outcome. Built on a coarse-graining process called diffusion condensation, Multiscale PHATE learns a data topology that can be analyzed at coarse resolutions for high-level summarizations of data and at fine resolutions for detailed representations of subsets. We apply Multiscale PHATE to a coronavirus disease 2019 (COVID-19) dataset with 54 million cells from 168 hospitalized patients and find that patients who die show CD16
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.