Evidence map›Paper›PMID 33794739›Full record

ArticleNucleus (Austin, Tex.)2021

4DNvestigator: time series genomic data analysis toolbox.

Stephen Lindsly, Can Chen, Sijia Liu, Scott Ronquist, Samuel Dilworth, Michael Perlman, Indika Rajapakse

Abstract read
In one paragraph

Article in Nucleus (Austin, Tex.), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
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  3. A Survey on Hyperlink Prediction.IEEE transactions on neural networks and learning systems · 2024
    Article
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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

7 authors.

Stephen LindslyDepartment of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA.ORCID 0000-0001-8787-1746
Can ChenDepartment of Mathematics, University of Michigan, Ann Arbor, MI, USA.ORCID 0000-0003-2310-0074
Sijia LiuMIT-IBM Watson AI Lab, IBM Research, Cambridge, MA, USA.
Scott RonquistDepartment of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA.
Samuel DilworthiReprogram, Ann Arbor, MI, USA.
Michael PerlmanDepartment of Statistics, University of Washington, Seattle, WA, USA.
Indika RajapakseDepartment of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Data on genome organization and output over time, or the 4D Nucleome (4DN), require synthesis for meaningful interpretation. Development of tools for the efficient integration of these data is needed, especially for the time dimension. We present the '4DNvestigator', a user-friendly network-based toolbox for the analysis of time series genome-wide genome structure (Hi-C) and gene expression (RNA-seq) data. Additionally, we provide methods to quantify network entropy, tensor entropy, and statistically significant changes in time series Hi-C data at different genomic scales.

Indexed as

Data AnalysisGenomicsTime Factors4DNcentralityentropynetworkstime series

Identifiers

PMID33794739
PMCPMC8049205

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.