BATS: A User-Friendly Software for Analyzing Time Series Microarray Experiments
Author Information
Author(s): Angelini Claudia, Cutillo Luisa, De Canditiis Daniela, Mutarelli Margherita, Pensky Marianna
Hypothesis
Can a Bayesian approach effectively analyze time-course microarray data with varying time points and missing data?
Conclusion
BATS is a free, user-friendly software that efficiently analyzes time-course microarray experiments and manages various technical difficulties.
Supporting Evidence
- BATS allows users to automatically identify and rank differentially expressed genes.
- The software is designed to handle non-uniform sampling intervals and missing data.
- BATS is computationally efficient due to its fully Bayesian approach.
Takeaway
BATS is a tool that helps scientists understand how genes behave over time when they are treated with different substances, even if some data is missing.
Methodology
BATS uses a Bayesian approach to identify and rank differentially expressed genes in time-course microarray data.
Limitations
The software is designed for 'one sample' problems and may not perform optimally with fewer than 5 time points.
Digital Object Identifier (DOI)
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