Evidence map›Paper›PMID 32867824›Full record

ArticleGenome biology2020

CSS: cluster similarity spectrum integration of single-cell genomics data.

Zhisong He, Agnieska Brazovskaja, Sebastian Ebert, J Gray Camp, Barbara Treutlein

Abstract readComparative StudyEvaluation Study
In one paragraph

Article in Genome biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing 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

36 citing papers in PubMed.

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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

5 authors.

Zhisong HeDepartment of Biosystems Science and Engineering, ETH Zürich, Basel, Switzerland. zhisong.he@bsse.ethz.ch.
Agnieska BrazovskajaMax Planck Institute for Evolutionary Anthropology, Leipzig, Germany.
Sebastian EbertMax Planck Institute for Evolutionary Anthropology, Leipzig, Germany.
J Gray CampInstitute of Molecular and Clinical Ophthalmology, Basel, Switzerland. grayson.camp@iob.ch.
Barbara TreutleinDepartment of Biosystems Science and Engineering, ETH Zürich, Basel, Switzerland. barbara.treutlein@bsse.ethz.ch.ORCID 0000-0002-3299-5597

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

It is a major challenge to integrate single-cell sequencing data across experiments, conditions, batches, time points, and other technical considerations. New computational methods are required that can integrate samples while simultaneously preserving biological information. Here, we propose an unsupervised reference-free data representation, cluster similarity spectrum (CSS), where each cell is represented by its similarities to clusters independently identified across samples. We show that CSS can be used to assess cellular heterogeneity and enable reconstruction of differentiation trajectories from cerebral organoid and other single-cell transcriptomic data, and to integrate data across experimental conditions and human individuals.

Indexed as

Sequence Analysis, RNASingle-Cell AnalysisGenomicsHumansUnsupervised Machine Learning

Identifiers

PMID32867824
PMCPMC7460789

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.