Add to ORKGEfficiency of including first-generation information in second-generation ranking and selection: results of computer simulatio
Genomic selection (GS) is a recent selective breeding method which uses predictive models based on w...
This article considers the gene ranking algorithm for the microarray data. The rank vector is estima...
Summary: Often, the most informative genes have to be selected from different gene sets and several ...
BLUP (Best linear unbiased prediction) method has been widely used in forest tree improvement progra...
We apply a Genomic Selection Index (GSI) to simulated and real data sets with four traits and numeri...
Motivation: Most population genetic simulators fall into one of two classes, backward time simulator...
<p>Stage 1: Fraction of simulation runs where the genetic algorithm’s fitness function identified ei...
The constrained linear genomic selection index (CLGSI) is a linear combination of genomic estimated ...
Often, the most informative genes have to be selected from different gene setsand several computer g...
Adaptive graph computations for the study of the evolution of genomes are being conducted on a CM-2 ...
Twelve years have passed since the early outlooks of applying genomic selection (GS) to forest tree ...
Methods to detect signals of natural selection from genomic data have traditionally emphasized the u...
10.1007/978-3-642-15294-8_25Lecture Notes in Computer Science (including subseries Lecture Notes in ...
A computer simulation study on the number of loci and trees required to estimate genetic variability...
<p>Ranking of housekeeping genes in cotton leafhopper based on geometric mean using RefFinder softwa...
Genomic selection (GS) is a recent selective breeding method which uses predictive models based on w...
This article considers the gene ranking algorithm for the microarray data. The rank vector is estima...
Summary: Often, the most informative genes have to be selected from different gene sets and several ...
BLUP (Best linear unbiased prediction) method has been widely used in forest tree improvement progra...
We apply a Genomic Selection Index (GSI) to simulated and real data sets with four traits and numeri...
Motivation: Most population genetic simulators fall into one of two classes, backward time simulator...
<p>Stage 1: Fraction of simulation runs where the genetic algorithm’s fitness function identified ei...
The constrained linear genomic selection index (CLGSI) is a linear combination of genomic estimated ...
Often, the most informative genes have to be selected from different gene setsand several computer g...
Adaptive graph computations for the study of the evolution of genomes are being conducted on a CM-2 ...
Twelve years have passed since the early outlooks of applying genomic selection (GS) to forest tree ...
Methods to detect signals of natural selection from genomic data have traditionally emphasized the u...
10.1007/978-3-642-15294-8_25Lecture Notes in Computer Science (including subseries Lecture Notes in ...
A computer simulation study on the number of loci and trees required to estimate genetic variability...
<p>Ranking of housekeeping genes in cotton leafhopper based on geometric mean using RefFinder softwa...
Genomic selection (GS) is a recent selective breeding method which uses predictive models based on w...
This article considers the gene ranking algorithm for the microarray data. The rank vector is estima...
Summary: Often, the most informative genes have to be selected from different gene sets and several ...