Difference between revisions of "Literature Studies"

m (Classification)
(Identifying different features)
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=== Feature Selection ===
 
=== Feature Selection ===
==== Identifying different features ====
+
==== Identifying differential features ====
 
''' 2006 '''</br>
 
''' 2006 '''</br>
 
* [[Rat toxicogenomic study reveals analytical consistency across microarray platforms]]
 
* [[Rat toxicogenomic study reveals analytical consistency across microarray platforms]]
Line 33: Line 33:
 
* [[In-depth method assessments of differentially expressed protein detection for shotgun proteomics data with missing values]]
 
* [[In-depth method assessments of differentially expressed protein detection for shotgun proteomics data with missing values]]
 
* [[Strategies for analyzing bisulfite sequencing data]]
 
* [[Strategies for analyzing bisulfite sequencing data]]
 +
''' 2018 '''</br>
 +
* [[Identification of Differentially Methylated Sites with Weak Methylation Effects]]
  
 
==== Identifying differential regions (e.g. DMRs) ====
 
==== Identifying differential regions (e.g. DMRs) ====

Revision as of 12:42, 29 January 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 Feature Selection

1.2.1 Identifying differential features

2006

2010

2017

2018

1.2.2 Identifying differential regions (e.g. DMRs)

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

2013

2018


1.5 Omics Workflows

2017


1.6 Preprocessing high-throughput data

2003

2005

2006

2008

2009

2010

2011

2012

2014