Gene expression programming

Known as: GEP, Gene expression programing 
In computer programming, gene expression programming (GEP) is an evolutionary algorithm that creates computer programs or models. These computer… (More)
Wikipedia

Related topics

Related topics

37 relations
Adaptive systemArtificial intelligenceArtificial neural networkBio-inspired computing
(More)

Broader (1)

Evolutionary computation

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2016
2016
Self-Learning Gene Expression Programming
In this paper, a novel self-learning gene expression programming (GEP) methodology named SL-GEP is proposed to improve the search… (More)
  • figure 1
  • figure 2
  • figure 4
  • figure 3
  • table I
Is this relevant?
Highly Cited
2006
Highly Cited
2006
Rosetta error model for gene expression analysis
MOTIVATION In microarray gene expression studies, the number of replicated microarrays is usually small because of cost and… (More)
  • table 1
  • figure 2
  • figure 7
Is this relevant?
Highly Cited
2005
Highly Cited
2005
STEM: a tool for the analysis of short time series gene expression data
Time series microarray experiments are widely used to study dynamical biological processes. Due to the cost of microarray… (More)
  • figure 5
  • figure 7
  • figure 3
Is this relevant?
2005
2005
Prefix Gene Expression Programming
Gene Expression Programming (GEP) is a powerful evolutionary method derived from Genetic Programming (GP) for model learning and… (More)
  • figure 1
  • figure 2
  • figure 3
  • figure 4
  • table 1
Is this relevant?
Highly Cited
2005
Highly Cited
2005
Significance analysis of functional categories in gene expression studies: a structured permutation approach
MOTIVATION In high-throughput genomic and proteomic experiments, investigators monitor expression across a set of experimental… (More)
  • figure 1
  • table 1
  • figure 2
  • figure 3
Is this relevant?
Highly Cited
2005
Highly Cited
2005
Transcriptional program controlled by the floral homeotic gene AGAMOUS during early organogenesis.
Floral organs, whose identity is determined by specific combinations of homeotic genes, originate from a group of… (More)
  • figure 1
  • figure 2
  • figure 3
  • figure 4
  • figure 5
Is this relevant?
Highly Cited
2003
Highly Cited
2003
Evolving accurate and compact classification rules with gene expression programming
Classification is one of the fundamental tasks of data mining. Most rule induction and decision tree algorithms perform local… (More)
  • figure 1
  • figure 2
  • figure 3
  • figure 4
  • figure 5
Is this relevant?
Highly Cited
2003
Highly Cited
2003
A Bayesian missing value estimation method for gene expression profile data
MOTIVATION Gene expression profile analyses have been used in numerous studies covering a broad range of areas in biology. When… (More)
  • figure 1
  • figure 2
  • figure 3
  • figure 5
  • figure 4
Is this relevant?
Highly Cited
1999
Highly Cited
1999
Clustering gene expression patterns
Recent advances in biotechnology allow researchers to measure expression levels for thousands of genes simultaneously, across… (More)
  • figure 10
Is this relevant?
Highly Cited
1994
Highly Cited
1994
Genetic Programming II: Automatic Discovery of Reusable Programs.
Reading Genetic Programming IE Automatic Discovery ofReusable Programs (GPII) in its entirety is not a task for the weak-willed… (More)
Is this relevant?