Data Scaling
Data Scaling is a data preprocessing technique in multi-omics analysis that standardizes the range of numerical features across different omics datasets to ensure uniformity and comparability by transforming variables to a common scale without distorting differences in the ranges of values.
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5.7K
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290
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139
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2017–2026
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Effect of Data Scaling Methods on Machine Learning Algorithms and Model Performance
Md Manjurul Ahsan, M. A. Parvez Mahmud, Pritom Saha et al. · Technologies · 2021 · 696 citations · Full text
Computing, Cardiology, Data Science +17
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139

Centre National de la Recherche Scientifique
Paris, France
4 h-index
8 publications
359 citations
Stanford University
Stanford, United States
2 h-index
3 publications
553 citations
Prince Sultan University
Riyadh, Saudi Arabia
2 h-index
4 publications
272 citations
Palo Alto Research Center
Palo Alto, United States
2 h-index
2 publications
343 citations
Teignmouth Community Hospital
Teignmouth, United Kingdom
2 h-index
3 publications
59 citations

Langley Research Center
Hampton, United States
2 h-index
3 publications
101 citations
University of North Carolina at Chapel Hill
Chapel Hill, United States
2 h-index
4 publications
327 citations
University of Perugia
Perugia, Italy
2 h-index
7 publications
278 citations
1–8 of 139
Repository · 5 publications · 102 citations
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SIA · 3 publications · 123 citations
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3 publications · 91 citations
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2 publications · 343 citations
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2 publications · 286 citations
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