Evidence map›Paper›PMID 38168391›Full record

ArticlebioRxiv : the preprint server for biology2025

Identifying condition-related cell-cell communication events using supervised tensor analysis.

Qile Dai, Jingjing Yang, Michael P Epstein

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2025. 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

5 · Who and what money

Authors and funding

3 authors.

Qile DaiDepartment of Biostatistics and Bioinformatics, Emory University School of Public Health, Atlanta, Georgia 30322, United States of America.
Jingjing YangCenter for Computational and Quantitative Genetics, Department of Human Genetics, Emory University School of Medicine, Atlanta, Georgia 30322, United States of America.ORCID 0000-0002-4191-4138
Michael P EpsteinCenter for Computational and Quantitative Genetics, Department of Human Genetics, Emory University School of Medicine, Atlanta, Georgia 30322, United States of America.ORCID 0000-0001-9647-9738

Funding

Quantitative Genetic Models for Exploring Missing Heritability of Alzheimer's DiseaseRF1AG071170 · NIA · EMORY UNIVERSITY · PI CUTLER, DAVID JOSEPH, EPSTEIN, MICHAEL PHILIP · 2020 to 2020
$2.9M
Novel Bayesian statistical tools for integrating multi-omics data to help elucidate the genomic etiology of complex phenotypesR35GM138313 · NIGMS · EMORY UNIVERSITY · PI YANG, JINGJING · 2020 to 2024
$1.9M
NIA NIH HHS RF1 AG071170NIGMS NIH HHS R35 GM138313
6 · The paper itself

Abstract

Numerous tools have been developed to infer active cell-cell communication (CCC) events, which are essential for understanding biological processes and diseases. However, existing downstream methods for assessing the relationships between CCC events and biological conditions lack clear interpretation, fail to adjust for confounders, and ignore dependencies among CCC events. To address these limitations, we introduce STACCato, a

Identifiers

PMID38168391
PMCPMC10760171

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.