tensorGSEA: Detecting Differential Pathways in Type 2 Diabetes via Tensor-Based Data Reconstruction-Reference-Cited by-同舟云学术

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tensorGSEA: Detecting Differential Pathways in Type 2 Diabetes via Tensor-Based Data Reconstruction

Published:2022-02-23 Issue:2 Volume:14 Page:520-531
ISSN:1913-2751
Container-title:Interdisciplinary Sciences: Computational Life Sciences
language:en
Short-container-title:Interdiscip Sci Comput Life Sci

Author:

Qiao Xu,Zhang Xianru,Chen Wei,Xu Xin,Chen Yen-Wei,Liu Zhi-Ping^ORCID

Funder

National Natural Science Foundation of China

National Natural Science Foundation of China - Shandong Provincial Government Joint Grant

Natural Science Foundation of Shandong Province of China

National Key Research and Development Program of China

Shandong Provincial Key Research and Development Program

Publisher

Springer Science and Business Media LLC

Subject

Health Informatics,Computer Science Applications,General Biochemistry, Genetics and Molecular Biology

Link

https://link.springer.com/content/pdf/10.1007/s12539-022-00506-2.pdf

Reference29 articles.

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2. Barabási A-L, Gulbahce N, Loscalzo J (2011) Network medicine: a network-based approach to human disease. Nature Rev Genet 12:56–68. https://doi.org/10.1038/nrg2918

3. Liu ZP (2016) Identifying network-based biomarkers of complex diseases from high-throughput data. Biomark Med 10:633–650. https://doi.org/10.2217/bmm-2015-0035

4. Schena M, Shalon D, Davis RW et al (1995) Quantitative monitoring of gene expression patterns with a complementary DNA microarray. Science 270:467–470. https://doi.org/10.1126/science.270.5235.467

5. Liu ZP, Gao R (2018) Detecting pathway biomarkers of diabetic progression with differential entropy. J Biomed Inform 82:143–153. https://doi.org/10.1016/j.jbi.2018.05.006

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