Microarray analysis with Bayesian hierarchical clustering and Bayesian network clustering on three microarray datasets. Pearson's correlation coefficient and an augmented Markov blanket are used for feature selection.
-
Updated
Aug 20, 2021 - Python
Microarray analysis with Bayesian hierarchical clustering and Bayesian network clustering on three microarray datasets. Pearson's correlation coefficient and an augmented Markov blanket are used for feature selection.
Acute Myeloid Leukemia Microarray Analysis
plant microarray analysis
MicAff is a genomic data analysis tool. Application made with Shiny. It is used to analyze the data from the microarray experiment. Running on a local server, it allows you to load CEL data, their initial processing and further analysis.
Add a description, image, and links to the microarray-analysis topic page so that developers can more easily learn about it.
To associate your repository with the microarray-analysis topic, visit your repo's landing page and select "manage topics."