Difference between revisions of "Literature Studies"

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| Here outcomes of benchmarking studies from the literature are collected. </br>  
 
| Here outcomes of benchmarking studies from the literature are collected. </br>  
The focus is on computational methods for analyzing experimental data (instead of comparing experimental techniques or platforms) </br>
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The focus is on computational methods for analyzing experimental data (instead of comparing experimental techniques or platforms). </br>
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Please extend this list by creating a new page and adding a link below. </br>  
 
Please extend this list by creating a new page and adding a link below. </br>  
Use the '''[[Guidelines_for_Summarizing_a_Literature_Study|guidelines described here]]'''. The goal is achieving a consensus within the scientific community.  
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Use the '''[[Guidelines_for_Summarizing_a_Literature_Study|guidelines described here]]'''.
 
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Revision as of 09:52, 10 August 2018

Page summary
Here outcomes of benchmarking studies from the literature are collected.

The focus is on computational methods for analyzing experimental data (instead of comparing experimental techniques or platforms).

Please extend this list by creating a new page and adding a link below.
Use the guidelines described here.

1 Results from Literature

1.1 Classification

2003
Comparison of statistical methods for classification of ovarian cancer using mass spectrometry data 2005

2016

1.2 Feature Selection

1.2.1 Identifying differences

2006

2017

1.2.2 Dimension reduction

2008

2015


1.3 Imputation methods for missing values

2001

2015

2018


1.4 ODE-based Modelling

2001

2008

2013

2018


1.5 Omics Workflows

2017


1.6 Preprocessing high-throughput data

2003

2005

2008

2009

2010

2011

2012

2014