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Justyna Jupowicz-Kozak quote

Justyna Jupowicz-Kozak

CEO of Professional Science Editing for Scientists @ prosciediting.com

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was normalized against

Grammar usage guide and real-world examples

USAGE SUMMARY

"was normalized against" is correct and usable in written English.
You can use it when you are comparing one set of data to another set of data to determine if the data is within an acceptable range. For example, "The clinical data was normalized against standards set by the American Medical Association to ensure accuracy."

✓ Grammatically correct

Science

Human-verified examples from authoritative sources

Exact Expressions

60 human-written examples

Gene expression was normalized against expression of the GhEF1α gene.

Science & Research

Nature

CYP24A1 mRNA expression was normalized against that of housekeeping gene GAPDH.

Science & Research

Nature

(G) The fluorescence value of leaked FITC-dextran was normalized against the baseline (0 min) respectively.

Science & Research

Nature

The relative gene expression was normalized against the 18S gene expression.

Science & Research

Nature

The expression of eNOS was normalized against control MS1, relative eNOS staining of other groups were calculated.

Science & Research

Nature

NANOG expression level was normalized against GAPDH.

NANOG expression was normalized against GAPDH.

Gene expression was normalized against eEF1a as an internal control.

Science

Rice

The intensity was normalized against the absorption at 1,070 cm−1.

The fold change in expression was normalized against the expression of the housekeeping gene GAPDH (Hs99999905_m1).

The expression of each gene was normalized against that of the glyceraldehyde dehydrogenase gene (gpdA).

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Expert writing Tips

Best practice

When using "was normalized against", clearly define what baseline or control you are normalizing to. This enhances clarity and reproducibility.

Common error

Avoid using "was normalized" without specifying what it was normalized against. This creates ambiguity and makes your data difficult to interpret.

Antonio Rotolo, PhD - Digital Humanist | Computational Linguist | CEO @Ludwig.guru

Antonio Rotolo, PhD

Digital Humanist | Computational Linguist | CEO @Ludwig.guru

Source & Trust

82%

Authority and reliability

4.5/5

Expert rating

Real-world application tested

Linguistic Context

The phrase "was normalized against" functions as a passive voice construction indicating that a dataset or measurement has been adjusted relative to a reference point or control. As shown by Ludwig, this adjustment is often used to facilitate comparisons or account for variations.

Expression frequency: Very common

Frequent in

Science

100%

Less common in

News & Media

0%

Formal & Business

0%

Academia

0%

Ludwig's WRAP-UP

In summary, "was normalized against" is a grammatically correct and common phrase used primarily in scientific writing to describe the process of adjusting data relative to a reference point. As shown by Ludwig, its purpose is to enable accurate comparisons or account for variations. The phrase carries a formal tone, and it's crucial to specify the baseline for clarity. Common alternatives include phrases like "was adjusted relative to" or "was standardized to", but "was normalized against" maintains its place as a clear and precise way to communicate data standardization procedures.

FAQs

What does it mean when data "was normalized against" something?

When data "was normalized against" a particular value or dataset, it means that the data has been adjusted to account for differences or variations, allowing for a more accurate comparison. This often involves dividing the data by a reference value or adjusting for confounding variables.

How to use "was normalized against" in a sentence?

You can use "was normalized against" to explain how a dataset has been adjusted for comparison. For example, "Gene expression "was normalized against" a housekeeping gene to account for variations in RNA quantity".

What are some alternatives to "was normalized against"?

Why is it important to state what data "was normalized against"?

Stating what data "was normalized against" is crucial for transparency and reproducibility. It allows others to understand the data processing steps and evaluate the validity of the comparison.

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Source & Trust

82%

Authority and reliability

4.5/5

Expert rating

Real-world application tested

Most frequent sentences: