Multi-Tensor Decompositions for Personalized Cancer Diagnostics and Prognostics (Q113124839)

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Multi-Tensor Decompositions for Personalized Cancer Diagnostics and Prognostics
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    The tensor generalized singular value decomposition is one of the multi-tensor decompositions, invented to simultaneously identify the similar and dissimilar among, and create a single coherent model from any data types, of any number and dimensions. (English)
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    2023
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