A Topological Data Analysis Approach on Predicting Phenotypes from Gene Expression Data-Reference-Cited by-同舟云学术

A Topological Data Analysis Approach on Predicting Phenotypes from Gene Expression Data

Published:2020 Issue: Volume: Page:178-187
ISSN:0302-9743
Container-title:Algorithms for Computational Biology
language:
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Author:

Mandal Sayan^ORCID,Guzmán-Sáenz Aldo^ORCID,Haiminen Niina^ORCID,Basu Saugata^ORCID,Parida Laxmi^ORCID

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-42266-0_14

Reference31 articles.

1. Abadi, M., et al.: TensorFlow: large-scale machine learning on heterogeneous systems (2015). https://www.tensorflow.org/ . Software available from tensorflow.org

2. Adams, H., et al.: Persistence images: a stable vector representation of persistent homology. J. Mach. Learn. Res. 18(8), 1–35 (2017). http://jmlr.org/papers/v18/16-337.html

3. Arsuaga, J., Borrman, T., Cavalcante, R., Gonzalez, G., Park, C.: Identification of copy number aberrations in breast cancer subtypes using persistence topology. Microarrays 4(3), 339–369 (2015)

4. NATO ASI Series (Series F: Computer and Systems Sciences);JS Bridle,1990

5. Bubenik, P.: Statistical topological data analysis using persistence landscapes. J. Mach. Learn. Res. 16(1), 77–102 (2015). http://dl.acm.org/citation.cfm?id=2789272.2789275

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