Tutorial - 2 - Inspecting data

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Before starting the analysis with BATS, data should already be pre-processed: normalized, log-transformed and probes with an excessive number of missing points should be filtered out. Data should also be in the BATS input data format.

BATS contains the dataset Cicatiello_et_al.xls as an example.

Load the cicatiello_et_al.xls data file (see biological data description) in the Data Box Plot window and click Make Box Plot.

In the Utilities menu of BATS the function Data Box Plots can be used to inspect data before starting the analysis and check that it has been correctly pre-processed.

The boxplot shows for each array the median of all values (central red lines) the range which covers 50% of values (blue boxes), the range which covers 75% of values (dashed black lines) and all the remaining individual values (red crosses).

Normalized array values should have all the same median and approximately also the same range of 50% and 75% of values.

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

Bayesian Analysis for Time Series

Microarray Experiments

Additional information such as the total number of missing values, the number of missing values per gene and per array is printed in the dialog window