Mapper Construction
Mapper Construction is a computational method in topological data analysis that generalizes the construction of nerve complexes by combining a continuous map from a topological space to a Euclidean domain with a cover of that domain to produce a combinatorial summary of the data’s shape, distinguished by its use of clustering within preimage sets to capture overlapping topological features.
37
Publications
11.4K
Citations
112
Authors
64
Institutions
Publications per year
2017–2026
9
Parents
37
KEGG for integration and interpretation of large-scale molecular data sets
Minoru Kanehisa, Susumu Goto, Yoko Sato et al. · Nucleic Acids Research · 2011 · 5K citations · Full text
KEGG Mapper for inferring cellular functions from protein sequences
Minoru Kanehisa, Yoko Sato · Protein Science · 2019 · 1.3K citations · Full text
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Kyoto University
Kyoto, Japan
3 h-index
3 publications
7K citations
Fujitsu (Japan)
Kawasaki, Japan
3 h-index
6 publications
22K citations
Kyoto University Institute for Chemical Research
Kyoto, Japan
3 h-index
3 publications
7K citations
IBM (United States)
Armonk, United States
2 h-index
2 publications
135 citations
Google (United States)
Mountain View, United States
2 h-index
2 publications
135 citations
University of California, Berkeley
Berkeley, United States
2 h-index
2 publications
60 citations

Centre National de la Recherche Scientifique
Paris, France
2 h-index
7 publications
179 citations
Massachusetts Institute of Technology
Cambridge, United States
2 h-index
4 publications
270 citations
1–8 of 64
4 publications · 5.3K citations
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Repository · 3 publications · 197 citations
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PS · 2 publications · 2K citations
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FSI · 1 publications · 11 citations
1
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1 publications · 32 citations
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