Predicting Clinical Outcomes in Glioblastoma: An Application of Topological and Functional Data Analysis-Reference-Cited by-同舟云学术

Predicting Clinical Outcomes in Glioblastoma: An Application of Topological and Functional Data Analysis

Author:

Crawford Lorin¹²³^ORCID,Monod Anthea⁴^ORCID,Chen Andrew X.⁵,Mukherjee Sayan⁶⁷⁸⁹^ORCID,Rabadán Raúl⁵

Affiliation:

1. Department of Biostatistics, Brown University, Providence, RI;

2. Center for Statistical Sciences, Brown University, Providence, RI;

3. Center for Computational Molecular Biology, Brown University, Providence, RI;

4. Department of Applied Mathematics, Tel Aviv University, Tel Aviv, Israel;

5. Department of Systems Biology, Columbia University, New York, NY;

6. Department of Statistical Science, Duke University, Durham, NC;

7. Department of Computer Science, Duke University, Durham, NC;

8. Department of Mathematics, Duke University, Durham, NC;

9. Department of Bioinformatics & Biostatistics, Duke University, Durham, NC

Publisher

Informa UK Limited

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

Link

Reference72 articles.

Cited by 57 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. k-means clustering for persistent homology;Advances in Data Analysis and Classification;2024-01-31

4. Histopathological Cancer Detection with Topological Signatures;2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM);2023-12-05