Method / resourcemodel-written summary

Principal component analysis reduced multidimensional fluorescence data to informative parameters for comparing toxicant signatures.

A claim from Noninvasive determination of toxic stress biomarkers by high-throughput screening of photoautotrophic cell suspension cultures with multicolor fluorescence imaging · 2019

Method / resourceobservedoriginal resultpositivemeasured

Claim · model-written summary

Principal component analysis reduced multidimensional fluorescence data to informative parameters for comparing toxicant signatures.

Outcome
reduction of the collected multidimensional data setse0
Value
a few informative parameterse0

Not reportedTaxonMaterialGeneCompoundOrgan / stageInteractorInteractor roleSecond interactorSecond interactor roleTreatmentComparatorSettingDirectionQualifier

Verbatim

e0

“Principal component analysis was found to be useful for reduction of the collected multidimensional data sets to a few informative parameters allowing comparison of the toxicant signatures.”

✓ located verbatim in the source · abstract, characters 1524–1713

Title

Noninvasive determination of toxic stress biomarkers by high-throughput screening of photoautotrophic cell suspension cultures with multicolor fluorescence imaging

Anna Segečová; María Luisa Pérez-Bueno; Matilde Barón; et al. Plant Methods 2019. doi:10.1186/s13007-019-0484-y

Other claims from this paper (7)

Record rev-ea2e4817bc4c478e9706210b7130daa13d5d14cb7ecba4eec82d9950d7d6c518 · schema claims-v0.9 · position 7 in the model’s answer