HiPathia can be used mainly in two different ways:

• Differential signaling allows us to see how cell signaling changes in different conditions.
• Prediction allows us to train a prediction test and test it with different data.

HiPathia is able to integrate different technologies to produce an accurate result.

HiPathia allows us to compute a signal value for each signaling path and each of our data samples. Therefore, it allows us to compare the signal value:

• Between two groups, in order to see which signaling paths change and how, or
• With a continuous value, giving us the correlation of each signaling path with this variable.

HiPathia is able to integrate variant files in order to compute a more accurate estimation of the samples expression. This integration can be done in order to:

• Have a more precise expression profile of the samples we are comparing, or
• Check the effect on the signaling pathways of the mutations in the genome.

In order to check how to use these options please see How to use HiPathia.

HiPathia allows us to train, download and test a prediction model for our dataset. The model can be trained either to:

• Discriminate between two different groups of samples, or
• Predict the value of an unknown variable.

In order to check how to use these options please see How to use HiPathia.