(Q113700545)

English

multi-tensor decomposition

comparative factorization of multiple tensors of equal orders or numbers of axes, shared column axes, and independent row axes

comparative spectral decomposition
multi-tensor generalization of the singular value decomposition
multi-tensor generalization of the SVD
multi-tensor singular value decomposition
multi-tensor SVD

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Tensor Generalized Singular Value Decomposition following et int. Alter PLoS One 2015 and Alter NCI Physical Sciences in Oncology 2015.jpg
5,000 × 6,495; 3.05 MB

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discoverer or inventor

Orly Alter

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developer

Multi-Tensor Decompositions for Personalized Cancer Diagnostics and Prognostics

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described by source

Generalized singular value decomposition for comparative analysis of genome-scale expression data sets of two different organisms

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Novel Genome-Scale Correlation between DNA Replication and RNA Transcription During the Cell Cycle in Yeast is Predicted by Data-Driven Models

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Integrative analysis of genome-scale data by using pseudoinverse projection predicts novel correlation between DNA replication and RNA transcription

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A Novel Higher-Order Generalized Singular Value Decomposition for Comparative Analysis of Multiple Genome-Scale Datasets

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A higher-order generalized singular value decomposition for comparison of global mRNA expression from multiple organisms

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GSVD comparison of patient-matched normal and tumor aCGH profiles reveals global copy-number alterations predicting glioblastoma multiforme survival

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Tensor GSVD of patient- and platform-matched tumor and normal DNA copy-number profiles uncovers chromosome arm-wide patterns of tumor-exclusive platform-consistent alterations encoding for cell transformation and predicting ovarian cancer survival

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DNA Copy-Number Alterations in Primary Ovarian Serous Cystadenocarcinoma Encoding for Cell Transformation and Predicting Survival and Response to Platinum Therapy Throughout the Course of the Disease

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Platform-Independent Genome-Wide Pattern of DNA Copy-Number Alterations Predicting Astrocytoma Survival and Response to Treatment Revealed by the GSVD Formulated as a Comparative Spectral Decomposition

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Mathematically Universal and Biologically Consistent Astrocytoma Genotype Encodes for Transformation and Predicts Survival Phenotype

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Patterns of DNA Copy-Number Alterations Revealed by the GSVD and Tensor GSVD Encode for Cell Transformation and Predict Survival and Response to Platinum in Adenocarcinomas

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Mathematically universal and biologically consistent astrocytoma genotype encodes for transformation and predicts survival phenotype

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GSVD- and tensor GSVD-uncovered patterns of DNA copy-number alterations predict adenocarcinomas survival in general and in response to platinum

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Retrospective clinical trial experimentally validates glioblastoma genome-wide pattern of DNA copy-number alterations predictor of survival

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Multi-Tensor Decompositions for Personalized Cancer Diagnostics, Prognostics, and Therapeutics

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generalization of

singular value decomposition

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tensor decomposition

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generalized singular value decomposition

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has part(s)

generalized singular value decomposition

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(Q113700545)

multi-tensor decomposition

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