noisy omics data vs noisiness of omics data

Both phrases are correct, but they convey slightly different meanings. 'Noisy omics data' refers to the data itself being noisy, while 'noisiness of omics data' refers to the quality of the data being noisy. They are comparable but used in different contexts.

Last updated: March 20, 2024 • 668 views

noisy omics data

This phrase is correct and commonly used in the context of data analysis to refer to data that contains a lot of noise.

This phrase is used to describe omics data that is characterized by a high level of noise or interference, making it challenging to analyze or interpret.

Examples:

The researchers had to preprocess the noisy omics data before conducting any analysis.
The noisy omics data required advanced filtering techniques to extract meaningful information.
Dealing with noisy omics data is a common challenge in bioinformatics.
The quality of the results was affected by the noisy omics data.
The presence of noisy omics data can lead to misleading conclusions.

Show examples from the web [+]

... to develop a new method that can be used to solve this task: the identification of minimal, yet robust fingerprints from very high-dimensional, noisy -omics data.
... fingerprints from very high-dimensional, noisy -omics data. Our method will be based on ideas from the areas of compressed sensing and machine learning.
Jun 22, 2007 ... Thus the simple averaging over replicates is not completely satisfactory especially for noisy omics data that do not have good within-replicate ...
Jun 22, 2007 ... completely satisfactory especially for noisy omics data that do not have good within-replicate correlation. Here we propose a new multivariate ...

Alternatives:

data with high noise levels in omics
omics data with significant noise
noisy data in omics studies
omics data containing a lot of noise
data with interference in omics analysis

noisiness of omics data

This phrase is correct and is used to describe the quality or characteristic of omics data being noisy.

This phrase is used to discuss the level of noise or interference present in omics data, focusing on the quality aspect rather than the data itself.

Examples:

The noisiness of omics data can impact the accuracy of downstream analyses.
Understanding the sources contributing to the noisiness of omics data is crucial for data preprocessing.
The researchers evaluated the noisiness of omics data before applying any statistical methods.
Quantifying the noisiness of omics data is essential for reliable results.
The noisiness of omics data poses a challenge for data interpretation.

Alternatives:

level of noise in omics data
quality of noisy omics data
degree of noisiness in omics data
amount of interference in omics data
characteristic of noisy omics data

What Our Customers Are Saying

Our customers love us! We have an average rating of 4.79 stars based on 283,125 votes.
Also check out our 2,100+ reviews on TrustPilot (4.9).

"Thank you!"
Sachi Nakama July 2024
"I have literally been through chat, PI, claude, bard and bing and I got conflicting answers! Thank you! Human intelligence reigns!"
Retha July 2024
"Faster than AI"
CYNTHIA December 2023
"This was very helpful and I personally think this site is the best."
Kaden October 2023
"It was extremely thorough and very helpful!"
imperialelisa October 2023
"7 years without any disappointment. Always 100% satisfied. You guys are the best in the world at what you do. Thank you so much :)"
Zubair Alam October 2023
"In a world of text messages and online communication, this is great to have as a live tool. Thank you."
Selena October 2023
"Without textranch I would be stuck!"
宏祐 October 2023
"Accuracy and fast response. Personal comments from editor. Thank you."
Clh September 2023
"I wasn't aware of this service, it's fascinating and more reliable than standard IA tools available on the internet"
Arturo September 2023
"The fact that you can get reliable fast feedback on your texts."
Vinicius Antonio August 2023
"you guys are better than grammarly i'm being honest here"
ordinary July 2023
"OMG! This is really good than any other text correction tools I've used so far. Highly recommend this."
Vehan July 2023
"Very fast and accurate. thank you."
mojtaba July 2023
"I love this app because it's help to writing skills all of students ♥️"
Tarisini July 2023
"This was exactly the mistake I was looking for, the wording dind´t sound right at first. Better than grammarly!"
Ente July 2023
"The immediate help that I received was reassuring and very satisfactory. Thanks."
priiiyanshuu July 2023
"this helps A LOT for my studies."
kathnunez02 June 2023
"Woow!! I would never have expected such precision! Thank you soooo much!!"
Berta June 2023
"Real Time Editor and not AI. Many Thanks."
Priya June 2023
"The very first thing excites me about Textranch is how much your editors care."
sepideh June 2023
"The fact that texts are checked by human editors rather than by AI, etc. I appreciate this!"
Анна June 2023
"Feel welcome, immediate response, high quality feedback"
martin.roy June 2023
"This is the best app that I have ever seen"
Burulai May 2023

noisy omics data vs noisiness of omics data

noisy omics data

noisiness of omics data

Related Comparisons

What Our Customers Are Saying