Evidence map›Paper›PMID 38982263›Full record

ArticleCommunications biology2024

SnapFISH-IMPUTE: an imputation method for multiplexed DNA FISH data.

Hongyu Yu, Daiqing Wu, Shreya Mishra, Guning Shen, Huaigu Sun, Ming Hu, Yun Li

Abstract read
In one paragraph

Article in Communications biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Differential analysis of image-based chromatin tracing data with Dory.bioRxiv : the preprint server for biology · 2026
    Article
  2. Article
  3. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Hongyu YuDepartment of Statistics, University of Wisconsin-Madison, Madison, WI, USA.
Daiqing WuDepartment of Statistics, University of Toronto, Ontario, Canada.
Shreya MishraDepartment of Quantitative Health Sciences, Lerner Research Institute, Cleveland Clinic Foundation, Cleveland, OH, USA.
Guning ShenDepartment of Computer Science, University of North Carolina, Chapel Hill, NC, USA.
Huaigu SunDepartment of Genetics, University of North Carolina, Chapel Hill, NC, USA.
Ming HuDepartment of Quantitative Health Sciences, Lerner Research Institute, Cleveland Clinic Foundation, Cleveland, OH, USA. hum@ccf.org.ORCID 0000-0003-0987-2916
Yun LiDepartment of Computer Science, University of North Carolina, Chapel Hill, NC, USA. yun_li@med.unc.edu.ORCID 0000-0002-9275-4189

Funding

Back Pain Consortium (BACPAC) Research Program Data Integration, Algorithm Development and Operations Management CenterU24AR076730 · NIAMS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI ANSTROM, KEVIN J, IVANOVA, ANASTASIA · 2019 to 2024
$60.0M
Center for Integrated Multi-modal and Multi-scale Nucleome ResearchUM1HG011585 · NHGRI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI DULAC, CATHERINE, LEIN, ED · 2020 to 2024
$6.7M
Polygenic risk scores for cardiometabolic disorders: the role of blood cells immune response and evolutionary adaptationU01HG011720 · NHGRI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Yun Li, ALEXANDER P REINER · 2021 to 2026
$5.4M
Charting the 3D epigenome in human brain development and diseasesU01DA052713 · NIDA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI KRIEGSTEIN, ARNOLD, SHEN, YIN · 2020 to 2024
$3.4M
Model-based methods for single cell chromatin interactomic dataR35HG011922 · NHGRI · CLEVELAND CLINIC LERNER COM-CWRU · PI HU, MING · 2021 to 2025
$2.4M
Division of Intramural Research, National Institute of Allergy and Infectious Diseases (Division of Intramural Research of the NIAID) UM1HG011585NHGRI NIH HHS R35 HG011922NHGRI NIH HHS U01 HG011720NHGRI NIH HHS UM1 HG011585NIAMS NIH HHS U24 AR076730NIDA NIH HHS U01 DA052713U.S. Department of Health & Human Services | NIH | National Human Genome Research Institute (NHGRI) R35HG011922U.S. Department of Health & Human Services | NIH | National Human Genome Research Institute (NHGRI) U01HG011720U.S. Department of Health & Human Services | NIH | National Institute of Allergy and Infectious Diseases (NIAID) U01DA052713
6 · The paper itself

Abstract

Chromatin spatial organization plays a crucial role in gene regulation. Recently developed and prospering multiplexed DNA FISH technologies enable direct visualization of chromatin conformation in the nucleus. However, incomplete data caused by limited detection efficiency can substantially complicate and impair downstream analysis. Here, we present SnapFISH-IMPUTE that imputes missing values in multiplexed DNA FISH data. Analysis on multiple published datasets shows that the proposed method preserves the distribution of pairwise distances between imaging loci, and the imputed chromatin conformations are indistinguishable from the observed conformations. Additionally, imputation greatly improves downstream analyses such as identifying enhancer-promoter loops and clustering cells into distinct cell types. SnapFISH-IMPUTE is freely available at https://github.com/hyuyu104/SnapFISH-IMPUTE .

Indexed as

ChromatinDNAIn Situ Hybridization, FluorescenceAnimalsHumansSoftwareChromatinDNA

Identifiers

PMID38982263
PMCPMC11233503

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.