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- W4362552230 abstract "As experiments continue to increase in size and scope, a fundamental challenge of subsequent analyses is to recast the wealth of information into an intuitive and readily interpretable form. Often, each measurement conveys only the relationship between a pair of entries, and it is difficult to integrate these local interactions across a dataset to form a cohesive global picture. The classic localization problem tackles this question, transforming local measurements into a global map that reveals the underlying structure of a system. Here, we examine the more challenging bipartite localization problem, where pairwise distances are available only for bipartite data comprising two classes of entries (such as antibody-virus interactions, drug-cell potency, or user-rating profiles). We modify previous algorithms to solve bipartite localization and examine how each method behaves in the presence of noise, outliers, and partially observed data. As a proof of concept, we apply these algorithms to antibody-virus neutralization measurements to create a basis set of antibody behaviors, formalize how potently inhibiting some viruses necessitates weakly inhibiting other viruses, and quantify how often combinations of antibodies exhibit degenerate behavior.8 MoreReceived 26 July 2022Revised 31 December 2022Accepted 24 February 2023DOI:https://doi.org/10.1103/PhysRevX.13.021002Published by the American Physical Society under the terms of the Creative Commons Attribution 4.0 International license. Further distribution of this work must maintain attribution to the author(s) and the published article’s title, journal citation, and DOI.Published by the American Physical SocietyPhysics Subject Headings (PhySH)Research AreasImmune system diseasesViral diseasesTechniquesData analysisGeneral PhysicsBiological PhysicsInterdisciplinary Physics" @default.
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- W4362552230 date "2023-04-04" @default.
- W4362552230 modified "2023-10-14" @default.
- W4362552230 title "Quantitatively Visualizing Bipartite Datasets" @default.
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- W4362552230 doi "https://doi.org/10.1103/physrevx.13.021002" @default.
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