Matrix Normalization
Matrix Normalization is a computational method in the context of substitution matrices that standardizes matrix entries by scaling their values relative to a reference distribution or statistical framework, thereby enabling meaningful comparison across different evolutionary or scoring models.
202
Publications
10.8K
Citations
461
Authors
284
Institutions
Publications per year
2017–2026
51
Parents
202
Data Mining: A Preprocessing Engine
Luai Al-Shalabi, Zyad Shaaban, Basel Kasasbeh · Journal of Computer Science · 2006 · 606 citations
Advanced Normalization Tools: V1.0
Brian Avants, Nicholas J. Tustison, Gang Song · The Insight Journal · 2009 · 545 citations · Full text
Finding Optimal Normalizing Transformations via bestNormalize
The R Journal · 2021 · 475 citations · Full text
1–5 of 202
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Vilnius Gediminas Technical University, Lithuania
3 publications · 235 citations
3
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3
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1–5 of 461
284
Dalian University of Technology
Dalian, China
4 h-index
13 publications
1.8K citations

Southwest Jiaotong University
Chengdu, China
4 h-index
12 publications
385 citations

Vilnius Gediminas Technical University
Vilnius, Lithuania
4 h-index
10 publications
542 citations
The University of Tokyo
Tokyo, Japan
3 h-index
3 publications
42 citations

Chinese Academy of Sciences
Beijing, China
3 h-index
3 publications
176 citations
Florida State University
Tallahassee, United States
3 h-index
4 publications
84 citations

Centre National de la Recherche Scientifique
Paris, France
3 h-index
7 publications
188 citations

Southern Illinois University Carbondale
Carbondale, United States
3 h-index
6 publications
154 citations
1–8 of 284
14 publications · 602 citations
12
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6 publications · 102 citations
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Repository · 4 publications · 109 citations
4
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4 publications · 137 citations
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3 publications · 78 citations
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