CRIA: An Interactive Gene Selection Algorithm for Cancers Prediction Based on Copy Number Variations
Frontiers in Plant Science, 2022 Genomic copy number variations (CNVs) are among the most important structural variations of genes found to be related to the risk of individual cancer and therefore they can be utilized to provide a clue to the research on the formation and progression ...
Qiang Wu, Dongxi Li
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Comparative gene marker selection suite [PDF]
Bioinformatics, 2006 AbstractMotivation: An important step in analyzing expression profiles from microarray data is to identify genes that can discriminate between distinct classes of samples. Many statistical approaches for assigning significance values to genes have been developed. The Comparative Marker Selection suite consists of three modules that allow users to apply
Joshua, Gould +4 more
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Template-driven gene selection procedure [PDF]
IEE Proceedings - Systems Biology, 2006 The hierarchical clustering and statistical techniques usually used to analyse microarray data do not inherently represent the underlying biology. Herein, a hybrid approach involving characteristics of both supervised and unsupervised learning is presented.
N, Knowlton +6 more
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Selecting Genes by Test Statistics [PDF]
BioMed Research International, 2005 Gene selection is an important issue in analyzing multiclass microarray data. Among many proposed selection methods, the traditional ANOVA F test statistic has been employed to identify informative genes for both class prediction (classification) and discovery problems. However, the F test statistic assumes an equal variance. This assumption may not be
Chen, Dechang +3 more
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Random forest for gene selection and microarray data classification [PDF]
, 2011 A random forest method has been selected to perform both gene selection and classification of the microarray data. The goal of this research is to develop and improve the random forest gene selection method.
Moorthy, Kohbalan +1 more
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Robustness of Random Forest-based gene selection methods [PDF]
, 2013 Gene selection is an important part of microarray data analysis because it provides information that can lead to a better mechanistic understanding of an investigated phenomenon.
Kursa, Miron B.
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Genomic signatures of host-associated divergence and adaptation in a coral-eating snail, Coralliophila violacea (Kiener, 1836). [PDF]
, 2020 The fluid nature of the ocean, combined with planktonic dispersal of marine larvae, lowers physical barriers to gene flow. However, divergence can still occur despite gene flow if strong selection acts on populations occupying different ecological niches.
Barber, Paul H +4 more
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Positive selection underlies Faster-Z evolution of gene expression in birds. [PDF]
, 2015 The elevated rate of evolution for genes on sex chromosomes compared to autosomes (Fast-X or Fast-Z evolution) can result either from positive selection in the heterogametic sex, or from non-adaptive consequences of reduced relative effective population ...
Dean, R +4 more
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The Roles of Gene Duplication, Gene Conversion and Positive Selection in Rodent \u3ci\u3eEsp\u3c/i\u3e and \u3ci\u3eMup\u3c/i\u3e Pheromone Gene Families with Comparison to the \u3ci\u3eAbp\u3c/i\u3e Family [PDF]
, 2012 Three proteinaceous pheromone families, the androgen-binding proteins (ABPs), the exocrine-gland secreting peptides (ESPs) and the major urinary proteins (MUPs) are encoded by large gene families in the genomes of Mus musculus and Rattus norvegicus.
Karn, Robert C., Laukaitis, Christina M.
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Selection, Gene Interaction, and Flexible Gene Networks [PDF]
Cold Spring Harbor Symposia on Quantitative Biology, 2009 Recent results from a variety of different kinds of experiments, mainly using behavior as an assay, and ranging from laboratory selection experiments to gene interaction studies, show that a much wider range of genes can affect phenotype than those identified as "core genes" in classical mutant screens.
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