Evidence map›Paper›PMID 39283457›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2025

Reconstruction of 3D Chromosome Structure from Single-Cell Hi-C Data via Recurrence Plots.

Yoshito Hirata, Hiroki Sugishita, Yukiko Gotoh

Abstract read
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In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 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

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

3 authors.

Yoshito HirataInstitute of Systems and Information Engineering, University of Tsukuba, Tsukuba, Japan. hirata@cs.tsukuba.ac.jp.
Hiroki SugishitaInternational Research Center for Neurointelligence (WPI-IRCN), The University of Tokyo, Tokyo, Japan.
Yukiko GotohGraduate School of Pharmaceutical Sciences, The University of Tokyo, Tokyo, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We describe an approach for reconstructing three-dimensional (3D) structures from single-cell Hi-C data. This approach has been inspired by a method of recurrence plots and visualization tools for nonlinear time series data. Some examples are also presented.

Indexed as

Single-Cell AnalysisAlgorithmsChromosomesHumansImaging, Three-DimensionalSoftwareAdjacency matrixMethod with mathematical proofsRecurrence plotSingle diploid cell Hi-C dataThree-dimensional chromosomal reconstruction

Identifiers

PMID39283457

What OpenQuestion holds

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Registered trials

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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.