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High-Throughput Data Modeling in Plants edited this page May 6, 2018
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Welcome to the HTPmod ShinyApp Wiki!
HTPmod is a Shiny application for modeling and visualization of biological data especially from high-throughput experiments, such as HTP (high-throughput plant phenotyping) and HTS (high-throughput sequencing). Using HTPmod, you can
- model plant growth using time-course HTP data.
- apply different supervised machine-learning models for prediction purposes.
- perform exploratory data mining from omics data sets such as phenome, transcriptome, and epigenome data.
- visualize large-scale complex data sets.
- ... and more!
©2018 Author: Dijun Chen. All right reserved.