View source for Machine learning methods for predictive proteomics

__ NUMBEREDHEADINGS__
=== Citation ===
Barla A, Jurman G, Riccadonna S, Merler S, Chierici M, Furlanello C. Machine learning methods for predictive proteomics. Briefings in bioinformatics. 2008 Mar 1;9(2):119-28.

[https://doi.org/10.1093/bib/bbn008 Permanent link to the paper]


=== Summary ===
Briefly describe the scope of the paper, i.e. the field of research and/or application.

=== Study outcomes ===
List the paper results concerning method comparison and benchmarking:
==== Outcome O1 ====
The performance of ...

Outcome O1 is presented as Figure X in the original publication. 

==== Outcome O2 ====
...

Outcome O2 is presented as Figure X in the original publication. 
 
==== Outcome On ====
...

Outcome On is presented as Figure X in the original publication. 

==== Further outcomes ====
If intended, you can add further outcomes here.


=== Study design and evidence level ===
==== General aspects ====
You can describe general design aspects here.
The study designs for describing specific outcomes are listed in the following subsections:

==== Design for Outcome O1 ====
* The outcome was generated for ...
* Configuration parameters were chosen ...
* ...
==== Design for Outcome O2 ====
* The outcome was generated for ...
* Configuration parameters were chosen ...
* ...

... 

==== Design for Outcome O ====
* The outcome was generated for ...
* Configuration parameters were chosen ...
* ...

=== Further comments and aspects ===

=== References ===
The list of cited or related literature is placed here.