====== What can do HiPathia for you ======


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.



===== Differential signaling =====

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|How to use HiPathia]].

===== Prediction =====

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|How to use HiPathia]].