New Results
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
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
Satoru Hiwa
1Doshisha University, Graduate School of Life and Medical Sciences, Kyoto, Japan
Tomoyuki Hiroyasu
1Doshisha University, Graduate School of Life and Medical Sciences, Kyoto, Japan

Article usage
Posted February 08, 2022.
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
Subject Area
Subject Areas
- Biochemistry (7520)
- Bioengineering (5479)
- Bioinformatics (20677)
- Biophysics (10258)
- Cancer Biology (7931)
- Cell Biology (11583)
- Clinical Trials (138)
- Developmental Biology (6563)
- Ecology (10136)
- Epidemiology (2065)
- Evolutionary Biology (13540)
- Genetics (9498)
- Genomics (12788)
- Immunology (7872)
- Microbiology (19451)
- Molecular Biology (7614)
- Neuroscience (41875)
- Paleontology (306)
- Pathology (1252)
- Pharmacology and Toxicology (2179)
- Physiology (3249)
- Plant Biology (7007)
- Synthetic Biology (1942)
- Systems Biology (5406)
- Zoology (1107)