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Justyna Jupowicz-Kozak quote

Justyna Jupowicz-Kozak

CEO of Professional Science Editing for Scientists @ prosciediting.com

MitStanfordHarvardAustralian Nationa UniversityNanyangOxford

normalized against

Grammar usage guide and real-world examples

USAGE SUMMARY

"normalized against" is correct and usable in written English.
You can use it when comparing various measurements, values, or data sets to each other. For example, "The data was normalized against the national average."

✓ Grammatically correct

Science

Human-verified examples from authoritative sources

Exact Expressions

60 human-written examples

Expression level normalized against GAPDH.

Values were normalized against GAPDH.

NANOG expression level was normalized against GAPDH.

All expression levels were normalized against GAPDH.

NANOG expression was normalized against GAPDH.

All expression levels normalized against GAPDH.

All expressions were normalized against the Ubiquitin gene.

Science

Rice

Transcript levels were normalized against expression of internal control (GAPDH).

Relative gene expression values were normalized against GAPDH.

Gene expression was normalized against eEF1a as an internal control.

Science

Rice

The transcript levels were quantified and normalized against actin RNA.

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Expert writing Tips

Best practice

When using "normalized against", clearly specify what you are normalizing and what you are using as the reference point. This avoids ambiguity and ensures clarity in your writing.

Common error

Avoid using "normalized" without specifying what the data is being normalized against. For instance, instead of writing "the data was normalized", write "the data was normalized against a control group".

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 "normalized against" functions as a prepositional phrase indicating a mathematical or statistical adjustment. It specifies that data or values have been standardized in relation to a reference point. As Ludwig AI highlights, this phrase is often used in scientific contexts to ensure fair comparisons.

Expression frequency: Very common

Frequent in

Science

100%

Less common in

News & Media

0%

Formal & Business

0%

Academia

0%

Ludwig's WRAP-UP

The phrase "normalized against" is a prepositional phrase commonly used in scientific writing to indicate that data has been adjusted relative to a reference point, ensuring fair comparisons. Ludwig AI confirms that it is grammatically correct and widely used, particularly in scientific contexts. To ensure clarity, it's crucial to specify what is being normalized and what the reference point is. Alternatives like "adjusted with respect to" or "standardized relative to" can be used, depending on the specific context. When using "normalized against", always specify the reference standard to avoid ambiguity.

FAQs

How do I use "normalized against" in a scientific context?

In scientific writing, "normalized against" is used to express that data has been adjusted relative to a reference point to allow for fair comparison. For example, "Gene expression was "normalized against" GAPDH to account for variations in sample loading".

What are some alternatives to "normalized against"?

Depending on the context, you could use alternatives such as "adjusted with respect to", "standardized relative to", or "corrected for".

Is it always necessary to specify what I'm normalizing against?

Yes, clarity is paramount. Always specify the reference point to avoid ambiguity and ensure your readers understand the basis for comparison. For instance, specify if data is "normalized against" a control group, a baseline value, or another relevant metric.

What does it mean to say data is "normalized against" a control?

When data is ""normalized against"" a control, it means the values from the experimental group have been adjusted proportionally so that the control group's values serve as a baseline for comparison. This helps to account for any systematic differences between the groups.

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Source & Trust

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Authority and reliability

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Expert rating

Real-world application tested

Most frequent sentences: