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Translational selection on SHH genes [PDF]
Genetics and Molecular Biology, 2010 Codon usage bias has been observed in various organisms. In this study, the correlation between SHH genes expression in some tissues and codon usage features was analyzed by bioinformatics. We found that translational selection may act on compositional features of this set of genes.
Hajjari, Mohammadreza +2 more
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Selection in the evolution of gene duplications [PDF]
Genome Biology, 2002 Gene duplications have a major role in the evolution of new biological functions. Theoretical studies often assume that a duplication per se is selectively neutral and that, following a duplication, one of the gene copies is freed from purifying (stabilizing) selection, which creates the potential for evolution of a new function.In search of systematic
Fyodor A, Kondrashov +3 more
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A Novel Method to Efficiently Highlight Nonlinearly Expressed Genes
Frontiers in Genetics, 2020 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
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SELECTION OF AN UNFAVOURABLE GENE-COMPLEX [PDF]
Evolution, 1949 It has been the general basis of the theory of natural selection that genes or gene-combinations improving the "fitness" of a species will tend to increase in frequency within the species, while those which are harmful will tend to decrease, as a result of selection.
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A Machine Learning Method to Trace Cancer Primary Lesion Using Microarray-Based Gene Expression Data
Frontiers in Oncology, 2022 Cancer of unknown primary site (CUP) is a heterogeneous group of cancers whose tissue of origin remains unknown after detailed investigation by conventional clinical methods. The number of CUP accounts for roughly 3%–5% of all human malignancies.
Qingfeng Lu +6 more
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A theoretical analysis of gene selection
Proceedings. 2004 IEEE Computational Systems Bioinformatics Conference, 2004. CSB 2004., 2004 A great deal of recent research has focused on the challenging task of selecting differentially expressed genes from microarray data ('gene selection'). Numerous gene selection algorithms have been proposed in the literature, but it is often unclear exactly how these algorithms respond to conditions like small sample-sizes or differing variances ...
Mukherjee, S, Roberts, S
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RFCell: A Gene Selection Approach for scRNA-seq Clustering Based on Permutation and Random Forest
Frontiers in Genetics, 2021 In recent years, the application of single cell RNA-seq (scRNA-seq) has become more and more popular in fields such as biology and medical research. Analyzing scRNA-seq data can discover complex cell populations and infer single-cell trajectories in cell
Yuan Zhao +5 more
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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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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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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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