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The usefulness of sparse k-means in metabolomics data: An example from breast cancer data

Misa Goudo, View ORCID ProfileMasahiro Sugimoto, View ORCID ProfileSatoru Hiwa, View ORCID ProfileTomoyuki Hiroyasu
doi: https://doi.org/10.1101/2022.02.05.479235
Misa Goudo
1Doshisha University, Graduate School of Life and Medical Sciences, Kyoto, Japan
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Masahiro Sugimoto
2Institute for Medical Science, Tokyo Medical University, Shinjuku, Tokyo, 160-8402, Japan
3Institute for Advanced Biosciences, Keio University, Tsuruoka, Yamagata, 997-0052, Japan
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Satoru Hiwa
1Doshisha University, Graduate School of Life and Medical Sciences, Kyoto, Japan
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Tomoyuki Hiroyasu
1Doshisha University, Graduate School of Life and Medical Sciences, Kyoto, Japan
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  • ORCID record for Tomoyuki Hiroyasu
  • For correspondence: tomo@is.doshisha.ac.jp
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Posted February 08, 2022.
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The usefulness of sparse k-means in metabolomics data: An example from breast cancer data
Misa Goudo, Masahiro Sugimoto, Satoru Hiwa, Tomoyuki Hiroyasu
bioRxiv 2022.02.05.479235; doi: https://doi.org/10.1101/2022.02.05.479235
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The usefulness of sparse k-means in metabolomics data: An example from breast cancer data
Misa Goudo, Masahiro Sugimoto, Satoru Hiwa, Tomoyuki Hiroyasu
bioRxiv 2022.02.05.479235; doi: https://doi.org/10.1101/2022.02.05.479235

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