View source for Bioinformatics and Statistics: LC‐MS (/MS) Data Preprocessing for Biomarker Discovery

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=== Citation ===
Horvatovich P, Suits F, Hoekman B, Bischoff R. Bioinformatics and Statistics: LC‐MS (/MS) Data Preprocessing for Biomarker Discovery. In Comprehensive Biomarker Discovery and Validation for Clinical Application 2013 Jun 10 (pp. 199-225).

[https://doi.org/10.1039/9781849734363-00199 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.