Evidence map›Paper›PMID 39667913›Full record

ArticleLife science alliance2025

DICE: fast and accurate distance-based reconstruction of single-cell copy number phylogenies.

Samson Weiner, Mukul S Bansal

Abstract read
In one paragraph

Article in Life science alliance, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

2 authors.

Samson WeinerSchool of Computing, University of Connecticut, Storrs, CT, USA.
Mukul S BansalSchool of Computing, University of Connecticut, Storrs, CT, USA mukul.bansal@uconn.edu.ORCID 0000-0003-0039-2596

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Somatic copy number alterations (sCNAs) are valuable phylogenetic markers for inferring evolutionary relationships among tumor cell subpopulations. Advances in single-cell DNA sequencing technologies are making it possible to obtain such sCNAs datasets at ever-larger scales. However, existing methods for reconstructing phylogenies from sCNAs are often too slow for large datasets. We propose two new distance-based methods,

Indexed as

DNA Copy Number VariationsPhylogenySingle-Cell AnalysisAlgorithmsBreast NeoplasmsComputational BiologyFemaleHumansOvarian NeoplasmsSequence Analysis, DNASoftware

Identifiers

PMID39667913
PMCPMC11638338

What OpenQuestion holds

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LicenceCC BY
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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.