BATS Tutorial - index

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A user friendly software for Bayesian Analysis of Time Series Microarray Experiments.

Casella di testo: This cartoon tutorial is based on the analysis of data from Cicatiello et al. (2004) which are provided in the Examples folder.

Bayesian Analysis for Time Series

Microarray Experiments

This tutorial will provide a user a cartoon-guided data set analysis based on BATS.

This tutorial is designed for not expert users, however a certain background in data analysis is recommendable.


Dear user,

before going on you should carefully check that BATS is the tool you need or may use for your analysis.

To check this you have to positively answer to the following questions

1. Does the microarray experiment consist of a time course study?

2. Does the dataset contain at least 5-6 different time points?

3. Can the biological question of the identification of differentially expressed genes be  formalized in terms in a “one (statistical) sample” problem i.e, the identification of  curves which are different from zero  ?

4. Are the data already normalized ?


Then if the answers are always positive, BATS is a good tool for you!!

If your answers are positive except for question 2, you may still use BATS, although in our opinion simpler approaches can be more appropriate.

If your answers are positive except for question n. 3, we are sorry,  you have to wait for version 2.0 of BATS when the two sample problem will be handled. However you are invited to contact us if you want receive the new version as soon as it is released.

If your answers are positive except for question 4, then we suggest you first to use any other array normalization tool, and then analyze the data with BATS