Evidence map›Paper›PMID 36906619›Full record

ArticleScientific reports2023

Functional non-parametric mixed effects models for cytotoxicity assessment and clustering.

Tiantian Ma, Dan Richard, Yongqing Betty Yang, Adam B Kashlak, Cristina Anton

Open access · goldFull text read
In one paragraph

Article in Scientific reports, 2023. 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, top 96% of its field
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, 0 citations in OpenAlex.

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

5 authors at 2 institutions in 1 country.

Tiantian MaMathematical and Statistical Sciences, University of Alberta, Edmonton, Canada.
Dan RichardMathematical and Statistical Sciences, University of Alberta, Edmonton, Canada.
Yongqing Betty YangMathematical and Statistical Sciences, University of Alberta, Edmonton, Canada.
Adam B KashlakMathematical and Statistical Sciences, University of Alberta, Edmonton, Canada. kashlak@ualberta.ca.
Cristina AntonMathematics and Statistics, Grant MacEwan University, Edmonton, Canada.
University of Alberta · CAMacEwan University · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A multitude of natural and synthetic chemicals are present in our environment.Through the study of a compound's cytotoxicity, researchers can carefully set regulations regarding how much of a certain chemical in the ambient environment is tolerable. In the past, research has focused on point measurements such as the LD50. Instead, we consider entire time-dependent cellular response curves through the application of functional mixed effects models. We identify differences in such curves corresponding to the chemical's mode of action-i.e. how the compound attacks human cells. Through such analysis, we identify curve features to be used for cluster analysis via application of both k-means and self organizing maps. The data is analyzed by making use of functional principal components as a data driven basis and separately by considering B-splines for identifying local-time features. Our analysis can be used to drastically speed up future cytotoxicity research.

Indexed as

Cluster AnalysisToxicity TestsHumans

Identifiers

PMID36906619
PMCPMC10008646
OpenAlexW4323971912

What OpenQuestion holds

Textfull text, public
LicenceCC BY
measurements read19
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.