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Supervised dimension reduction for large-scale \"omics\" ... | ResearchHub
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Supervised dimension reduction for large-scale \"omics\" data with censored survival outcomes under possible non-proportional hazards
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Authors
Lauren Spirko‐Burns
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Lauren Spirko‐Burns
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Karthik Devarajan
Published
June 13, 2019
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Preprint Server
Topics
Biology
Machine Learning
Computer Science
Mathematics
Physics
Show all topics
DOI
10.1101/586529
License
CC-BY-NC-ND
Other Formats
PDF
Supporters
Support the authors with ResearchCoin
Tip RSC
Preprint Server
Topics
Biology
Machine Learning
Computer Science
Mathematics
Physics
Show all topics
DOI
10.1101/586529
License
CC-BY-NC-ND
Other Formats
PDF