Difference between revisions of "Literature Studies"

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(ODE-based Modelling)
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''' 2008 '''</br>
 
''' 2008 '''</br>
 
* [[Hybrid optimization method with general switching strategy for parameter estimation]]
 
* [[Hybrid optimization method with general switching strategy for parameter estimation]]
 +
''' 2011 '''</br>
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* [[Parameter estimation with bio-inspired meta-heuristic optimization: modeling the dynamics of endocytosis]]
 
''' 2013 '''</br>
 
''' 2013 '''</br>
 
* [[Lessons Learned from Quantitative Dynamical Modeling in Systems Biology]]
 
* [[Lessons Learned from Quantitative Dynamical Modeling in Systems Biology]]
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''' 2018 '''</br>
 
''' 2018 '''</br>
 
* [[Benchmarking optimization methods for parameter estimation in large kinetic models]]
 
* [[Benchmarking optimization methods for parameter estimation in large kinetic models]]
 
 
  
 
=== Omics Workflows ===
 
=== Omics Workflows ===

Revision as of 12:45, 26 June 2019

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

2005

2016

1.2 Selection of Differential Features and Regions

1.2.1 Identifying differential features

2006

2010

2017

2018

1.2.2 Identifying differential regions (e.g. DMRs)

2015

2016

2017

2018

1.2.3 Identifying sets of features (e.g. gene set analyses)

1.2.4 Dimension reduction

2008

2015

1.3 Imputation methods for missing values

2001

2015

2018


1.4 ODE-based Modelling

2001

2008

2011

2013

2018

1.5 Omics Workflows

2015

2017

2019


1.6 Preprocessing high-throughput data

2003

2005

2006

2008

2009

2010

2011

2012

2014