Evidence map›Paper›PMID 33051653›Full record

ArticleBioinformatics (Oxford, England)2021

CYBERTRACK2.0: zero-inflated model-based cell clustering and population tracking method for longitudinal mass cytometry data.

Kodai Minoura, Ko Abe, Yuka Maeda, Hiroyoshi Nishikawa, Teppei Shimamura

Abstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2021. 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.

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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.

Kodai MinouraDivision of Systems Biology.ORCID 0000-0003-3221-329X
Ko AbeDivision of Systems Biology.
Yuka MaedaDivision of Cancer Immunology, Research Institute/EPOC, National Cancer Center, Tokyo, Chiba 1040045/2778577, Japan.
Hiroyoshi NishikawaDivision of Immunology, Graduate School of Medicine, Nagoya University, Nagoya 4668550, Japan.
Teppei ShimamuraDivision of Systems Biology.

Funding

Japan Agency for Medical Research and Development JP19dm0107087h0004JSPS Grant-in-Aid for Scientific Research 18H04798
6 · The paper itself

Abstract

summaryRecent advancements in high-dimensional single-cell technologies, such as mass cytometry, enable longitudinal experiments to track dynamics of cell populations and identify change points where the proportions vary significantly. However, current research is limited by the lack of tools specialized for analyzing longitudinal mass cytometry data. In order to infer cell population dynamics from such data, we developed a statistical framework named CYBERTRACK2.0. The framework's analytic performance was validated against synthetic and real data, showing that its results are consistent with previous research. AVAILABILITY AND IMPLEMENTATION: CYBERTRACK2.0 is available at https://github.com/kodaim1115/CYBERTRACK2. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

Indexed as

AlgorithmsResearchCluster AnalysisSoftware

Identifiers

PMID33051653
PMCPMC8275981

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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.