Results 51 to 60 of about 1,213,334 (312)
Marker assisted selection with optimised contributions of the candidates to selection [PDF]
The benefits of marker assisted selection (MAS) are evaluated under realistic assumptions in schemes where the genetic contributions of the candidates to selection are optimised for maximising the rate of genetic progress while restricting the ...
Ricardo Pong-Wong +14 more
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Species versus gene selection [PDF]
Author(s): Tsakas, S. C. | Abstract: Species selection has been recently promoted (Gould a Eldredge, 1988a, 1988b) as the driving force in macroevolution, and viewed as an explanation for the variability in rates observed, both temporally and spatially, at the phenotypic level. This has rekindled the contention between microevolutionists (Maynard Smith,
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A Gene Selection Method for Cancer Classification [PDF]
This paper proposes a method to select a set of genes from a large number of genes with the ability of classifying types of diseases. The proposed gene selection method is designed according to correlation analysis and the concept of 95% reference range. The method is very simple and uses the information of all genes.
Xiaodong Wang 0003, Jun Tian
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Large-scale attribute selection using wrappers [PDF]
Scheme-specific attribute selection with the wrapper and variants of forward selection is a popular attribute selection technique for classification that yields good results. However, it can run the risk of overfitting because of the extent of the search
Andreas Karwath +8 more
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Genes, individuals, and kin selection [PDF]
The altruistic-gene theory of kin selection requires conditions so improbable that its reality is doubtful. The gene-quantity theory, including the theory of inclusive fitness, assumes that selection acts on sums of kins' genes, but no effective mechanism is apparent.
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Solving the riddle of codon usage preferences: a test for translational selection [PDF]
Translational selection is responsible for the unequal usage of synonymous codons in protein coding genes in a wide variety of organisms. It is one of the most subtle and pervasive forces of molecular evolution, yet, establishing the underlying causes ...
Savva, Renos +2 more
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Evaluation of gene selection metrics for tumor cell classification
Gene expression profiles contain the expression level of thousands of genes. Depending on the issue under investigation, this large amount of data makes analysis impractical. Thus, it is important to select subsets of relevant genes to work with.
Katti Faceli +2 more
doaj +1 more source
A Novel Method to Efficiently Highlight Nonlinearly Expressed Genes
For precision medicine, there is a need to identify genes that accurately distinguish the physiological state or response to a particular therapy, but this can be challenging.
Qifei Wang +7 more
doaj +1 more source
Hybrid Symmetrical Uncertainty and Reference Set Harmony Search Algorithm for Gene Selection Problem
Selecting the most miniature possible set of genes from microarray datasets for clinical diagnosis and prediction is one of the most challenging machine learning tasks. A robust gene selection technique is required to identify the most significant subset
Salam Salameh Shreem +3 more
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Natural selection and gene substitution
Using models which describe the change, by natural selection, of the actual numbers of genes rather than their relative frequencies, it is demonstrated that the equation familiar to geneticists, i.e.dp/dt=sp(1 −p), is appropriate under a wide range of circumstances.
M, Kimura, J F, Crow
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