HNN help

A brief introduction to HNN
The HNN (Hierarchical Neural Network ) prediction method can be seen as an improvement on the famous classifier developed by Qian and Sejnowski, and derived from the system NETtalk. As its predecessor, it is made up of two networks: a sequence-to-structure network and a structure-to-structure network. The prediction is thus only based on local information. The improvements mainly deal with two points:

These modifications have significantly improved the error in generalization. This error could still be greatly lowered, would the profile of multiple-alignment be used as input of the whole system, instead of the single primary structure of the sequence of interest.
NPS@ is the orginal server for this method.

Availability in NPS@
This method is available :

Parameters
No parameter required.

NPS@ HNN output example
You can see:

References


User : public@35.170.81.210. Last modification time : Thu Jan 14 18:47:58 2016. Current time : Fri Dec 6 19:34:16 2019