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

Open Access

Peer-reviewed

Research Article

Katherine A. Aiello,

Affiliations Scientific Computing and Imaging Institute, University of Utah, Salt Lake City, Utah, United States of America, Department of Bioengineering, University of Utah, Salt Lake City, Utah, United States of America
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Orly Alter

* E-mail: orly@sci.utah.edu

Affiliations Scientific Computing and Imaging Institute, University of Utah, Salt Lake City, Utah, United States of America, Department of Bioengineering, University of Utah, Salt Lake City, Utah, United States of America, Huntsman Cancer Institute, University of Utah, Salt Lake City, Utah, United States of America, Department of Human Genetics, University of Utah, Salt Lake City, Utah, United States of America
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Cancers and neoplasms
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Astrocytoma
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Cancer genomics
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Malignant tumors
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Cancer treatment
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Human genomics
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DNA methylation
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Laboratory tests
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