AutoClassWeb: a simple web interface for Bayesian clustering of omics data.

Published in: BMC research notes (2022)

We developed an online tool called AutoClassWeb, which provides an easy-to-use and simple web interface for Bayesian clustering with AutoClass. Input data are entered as TSV files and quality controlled. Results are provided in formats that ease further analyses with spreadsheet programs or with programming languages, such as Python or R. AutoClassWeb is implemented in Python and is published under the 3-Clauses BSD license. The source code is available at https://github.com/pierrepo/autoclassweb along with a detailed documentation.

Keyphrases

electronic health record
single cell
big data
rna seq
machine learning
advance care planning