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摘要

描述
English: The tensor generalized singular value decomposition is one of the comparative spectral decompositions, physics-inspired multi-tensor generalizations of the singular value decomposition, invented to simultaneously identify the similar and dissimilar among, and create a single coherent model from any data types, of any number and dimensions.

Following:

1. et int. Orly Alter, "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," PLoS One 10, article e0121396 (2015); https://doi.org/10.1371/journal.pone.0121396

2. Orly Alter, 2015– NIH/National Cancer Institute (NCI) Physical Sciences in Oncology U01 Project: Multi-Tensor Decompositions for Personalized Cancer Diagnostics and Prognostics; https://app.dimensions.ai/details/grant/grant.4455012

See also:

3. Orly Alter, "Multi-Tensor Decompositions for Personalized Cancer Diagnostics, Prognostics, and Therapeutics," Amazon Web Services (AWS) Education Research Webinar (January 30, 2020), hosted by M. L. Collinson; https://wikidata.org/wiki/Q113815455

4. Orly Alter, "Multi-Tensor Decompositions for Personalized Cancer Diagnostics, Prognostics, and Therapeutics," Stanford University Institute for Computational and Mathematical Engineering Seminar (Stanford, CA, January 16, 2020), hosted by M. A. Saunders; https://wikidata.org/wiki/Q113730709

5. Sri Priya Ponnapalli, Michael A. Saunders, Charles F. Van Loan and Orly Alter, "A Higher-Order Generalized Singular Value Decomposition for Comparison of Global mRNA Expression from Multiple Organisms," PLoS One 6, article e28072 (2011); https://doi.org/10.1371/journal.pone.0028072.

6. Sri Priya Ponnapalli, Gene H. Golub and Orly Alter, "A Novel Higher-Order Generalized Singular Value Decomposition for Comparative Analysis of Multiple Genome-Scale Datasets," Workshop on Algorithms for Modern Massive Datasets (MMDS). Stanford, CA: Stanford University and Yahoo! Research (2006); https://wikidata.org/wiki/Q113409278

7. Orly Alter et al., "Generalized Singular Value Decomposition for Comparative Analysis of Genome-Scale Expression Datasets of Two Different Organisms," PNAS 100, 3351 (2003); https://doi.org/10.1073/pnas.0530258100.
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說明

添加單行說明來描述出檔案所代表的內容
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.

在此檔案描寫的項目

描繪內容

參考文獻
出版者:​PLOS ONE 中文 (已轉換拼寫)
出版日期:​四月 2015
客體表述為:​tensor generalized singular value decomposition
客體表述為:​tensor GSVD
參考文獻
參考文獻
出版者:​亞馬遜雲端運算服務 繁體中文 (已轉換拼寫)
出版日期:​一月 2020
客體表述為:​tensor generalized singular value decomposition
客體表述為:​tensor GSVD
客體表述為:​multi-tensor decomposition
客體表述為:​comparative spectral decomposition
參考文獻
出版日期:​一月 2020
客體表述為:​tensor generalized singular value decomposition
客體表述為:​tensor GSVD
客體表述為:​multi-tensor decomposition
客體表述為:​comparative spectral decomposition
參考文獻
出版者:​PLOS ONE 中文 (已轉換拼寫)
出版日期:​十二月 2011
客體表述為:​higher-order generalized singular value decomposition
客體表述為:​HO GSVD

沒有維基數據項目的某些值

作者姓名字串 繁體中文 (已轉換拼寫):​PSON2023
維基媒體使用者名稱 繁體中文 (已轉換拼寫):​PSON2023

著作權狀態 繁體中文 (已轉換拼寫)

檔案來源 Chinese (Taiwan) (已轉換拼寫)

上傳者的原創作品 繁體中文 (已轉換拼寫)

署名文本 中文 (已轉換拼寫)

Following et int. Alter PLoS One 2015 and Alter NCI Physical Sciences in Oncology 2015.

多媒體型式 繁體中文 (已轉換拼寫)

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