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Min-Redundancy and Max-Relevance Multi-view Feature Selec... | ResearchHub
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Min-Redundancy and Max-Relevance Multi-view Feature Selection for Predicting Ovarian Cancer Survival using Multi-omics Data
0
Authors
Yasser EL‐Manzalawy
4 more
Yasser EL‐Manzalawy
•
Tsung-Yu Hsieh
2 more
•
Vasant Honavar
Published
May 9, 2018
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Preprint Server
Topics
Biology
Machine Learning
Computer Science
Bioinformatics
Artificial Intelligence
Show all topics
DOI
10.1101/317982
License
CC-BY-NC-ND
Other Formats
PDF
Supporters
Support the authors with ResearchCoin
Tip RSC
Preprint Server
Topics
Biology
Machine Learning
Computer Science
Bioinformatics
Artificial Intelligence
Show all topics
DOI
10.1101/317982
License
CC-BY-NC-ND
Other Formats
PDF
