31 citations · 45 across the 8 of their papers we have counts for
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stat.ML2018
An interpretable multiple kernel learning approach for the discovery of integrative cancer subtypes
Nora K. Speicher, Nico Pfeifer
Due to the complexity of cancer, clustering algorithms have been used to disentangle the observed heterogeneity and identify cancer subtypes that can be treated specifically. While…
stat.ML2017★ 5 cited
Towards multiple kernel principal component analysis for integrative analysis of tumor samples
Nora K. Speicher, Nico Pfeifer
Personalized treatment of patients based on tissue-specific cancer subtypes has strongly increased the efficacy of the chosen therapies. Even though the amount of data measured for…