GAC: Gene Associations with Clinical, a web based application [version 3; referees: 1 approved, 2 approved with reservations]
We present GAC, a shiny R based tool for interactive visualization of clinical associations based on high-dimensional data. The tool provides a web-based suite to perform supervised principal component analysis (SuperPC), an approach that uses both high-dimensional data, such as gene expression, com...
Main Authors: | Xinyan Zhang, Manali Rupji, Jeanne Kowalski |
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Format: | Article |
Language: | English |
Published: |
F1000 Research Ltd
2018-01-01
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Series: | F1000Research |
Subjects: | |
Online Access: | https://f1000research.com/articles/6-1039/v3 |
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