normalized by

USAGE SUMMARY

"normalized by" is correct and usable in written English.
You can use it to describe a process of making something more normal or regular. For example, "Data was normalized by applying a standardization algorithm."

✓ Grammatically correct

Science

Human-verified examples from authoritative sources

Exact Expressions

60 human-written examples

Raw data were normalized by quantile normalization.

Plosone

Data was normalized by Lowess normalization [ 49].

BMC Genomics

Data was normalized by quantile normalization.

Clinical Epigenetics

Microarray data were normalized by quantile normalization.

Environmental Health Perspectives

Percentage data were normalized by arcsin transformation.

Nature

Counts for mapped reads were normalized by RPKM.

Nature

variance reduction normalized by calculation.

Earth, Planets and Space

variance reduction normalized by observation.

Earth, Planets and Space

ΔT* is normalized by 104 hours.

Journal of Modern Power Systems and Clean Energy

Conductivities are normalized by the fluid conductivity.

Progress in Earth and Planetary Science

Left panel: normalized by the critical metallicity.

Earth, Planets and Space

Expert writing Tips

Best practice

When using "normalized by", ensure you clearly state the factor or variable used for normalization. This clarifies the context and enhances the interpretability of your data.

Common error

Avoid ambiguity by always explicitly mentioning what the data is being "normalized by". For example, instead of saying "the data was normalized", specify "the data was normalized by protein content" to prevent misinterpretations.

Linguistic Context

The phrase "normalized by" serves as a passive construction indicating that a subject has undergone a transformation or adjustment based on a specific factor. Ludwig AI validates this usage through numerous examples, demonstrating its grammatical correctness.

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, "normalized by" is a grammatically correct and very common passive construction used to describe the adjustment of data in relation to a specific factor. Ludwig AI confirms this through many examples, mostly in scientific contexts. When using this phrase, it's crucial to specify what the data is being normalized by to avoid ambiguity. Alternative phrases such as "standardized against", "adjusted based on", and "corrected for" can be used depending on the specific context. Remember to always be explicit about the normalization factor for clarity and precision in your writing.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

corrected for

Focuses on removing bias or error introduced by another variable.

standardized against

Focuses on using a standard for comparison, rather than the act of normalization itself.

adjusted based on

Emphasizes the adjustment process being dependent on a specific factor.

brought to a common scale by

Emphasizes the act of transforming data to a unified scale using a specific method.

scaled according to

Highlights the scaling aspect of normalization, often involving a proportional adjustment.

calibrated with respect to

Implies a precise adjustment to align with a specific reference or standard.

transformed in relation to

Highlights the use of a transformation to relate data points.

referenced to

Shifts focus to relating data to a baseline for context.

expressed relative to

Highlights the presentation of data as a ratio or proportion of another value.

balanced against

Suggests an equalization to offset differences, implying a form of normalization.

FAQs

How do I use "normalized by" in a sentence?

Use "normalized by" to describe the process of adjusting data in relation to a specific factor. For example, "Gene expression data was normalized by GAPDH".

What can I say instead of "normalized by"?

You can use alternatives like "standardized against", "adjusted based on", or "corrected for" depending on the context.

What does it mean to say that data was "normalized by" something?

Saying data was "normalized by" a factor means the data values have been adjusted proportionally using that factor to allow for meaningful comparisons across different samples or conditions.

What's the difference between "normalized by" and "standardized by"?

While similar, "standardized by" often implies adhering to a predefined standard or protocol, whereas "normalized by" suggests an adjustment relative to a specific variable within the dataset.