Evidence map›Paper›PMID 39314512›Full record

ArticleArXiv2024

Hyperedge Representations with Hypergraph Wavelets: Applications to Spatial Transcriptomics.

Xingzhi Sun, Charles Xu, João F Rocha, Chen Liu, Benjamin Hollander-Bodie, Laney Goldman, Marcello DiStasio, Michael Perlmutter, Smita Krishnaswamy

Abstract readPreprint
PubMed Full text at PMC
In one paragraph

Article in ArXiv, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Xingzhi SunYale University.
Charles XuYale University.
João F RochaYale University.
Chen LiuYale University.
Benjamin Hollander-BodieYale University.
Laney GoldmanHarvey Mudd College.
Marcello DiStasioYale University.
Michael PerlmutterBoise State University.
Smita KrishnaswamyYale University.

Funding

Deciphering Genetic and Epigenetic Regulatory Logic of Germ Layer Differentiation with Manifold LearningR01GM130847 · NIGMS · YALE UNIVERSITY · PI KRISHNASWAMY, SMITA · 2019 to 2023
$2.0M
Finding emergent structure in multi-sample biological data with the dual geometry of cells and features R01GM135929 · NIGMS · MICHIGAN STATE UNIVERSITY · PI BROWN, EDWARD · 2019 to 2022
$1.4M
NIGMS NIH HHS R01 GM130847NIGMS NIH HHS R01 GM135929
6 · The paper itself

Abstract

In many data-driven applications, higher-order relationships among multiple objects are essential in capturing complex interactions. Hypergraphs, which generalize graphs by allowing edges to connect any number of nodes, provide a flexible and powerful framework for modeling such higher-order relationships. In this work, we introduce hypergraph diffusion wavelets and describe their favorable spectral and spatial properties. We demonstrate their utility for biomedical discovery in spatially resolved transcriptomics by applying the method to represent disease-relevant cellular niches for Alzheimer's disease.

Indexed as

Alzheimer’s diseasehyperedgehypergraphrepresentation learningspatial transcriptomicswavelets

Identifiers

PMID39314512
PMCPMC11419178

What OpenQuestion holds

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Registered trials

None linked

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.