Results 31 to 40 of about 2,115,238 (295)
Digging into acceptor splice site prediction : an iterative feature selection approach [PDF]
, 2004 Feature selection techniques are often used to reduce data dimensionality, increase classification performance, and gain insight into the processes that generated the data.
A.I. Blum +18 more
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Natural selection and gene substitution
Genetical Research, 1969 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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CADM1 is a strong neuroblastoma candidate gene that maps within a 3.72 Mb critical region of loss on 11q23 [PDF]
, 2008 Background: Recurrent loss of part of the long arm of chromosome 11 is a well established hallmark of a subtype of aggressive neuroblastomas. Despite intensive mapping efforts to localize the culprit 11q tumour suppressor gene, this search has been ...
Evi Michels +65 more
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Mutational Slime Mould Algorithm for Gene Selection
Biomedicines, 2022 A large volume of high-dimensional genetic data has been produced in modern medicine and biology fields. Data-driven decision-making is particularly crucial to clinical practice and relevant procedures.
Feng Qiu +7 more
doaj +1 more source
Species versus gene selection [PDF]
Genetics Selection Evolution, 1989 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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Deep gene selection method to select genes from microarray datasets for cancer classification [PDF]
BMC Bioinformatics, 2019 Abstract Background Microarray datasets consist of complex and high-dimensional samples and genes, and generally the number of samples is much smaller than the number of genes. Due to this data imbalance, gene selection is a demanding task for microarray expression data analysis. Results
Russul Alanni +3 more
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Frontiers in Genetics, 2021 Alzheimer’s is a progressive, irreversible, neurodegenerative brain disease. Even with prominent symptoms, it takes years to notice, decode, and reveal Alzheimer’s.
Nivedhitha Mahendran +3 more
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Genes, individuals, and kin selection [PDF]
Proceedings of the National Academy of Sciences, 1981 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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Genetic Evolution and Molecular Selection of the HE Gene of Influenza C Virus [PDF]
, 2019 Influenza C virus (ICV) was first identified in humans and swine, but recently also in cattle, indicating a wider host range and potential threat to both the livestock industry and public health than was originally anticipated.
He, Wanting +10 more
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BMC Genomics, 2011 Background Microarray data have a high dimension of variables and a small sample size. In microarray data analyses, two important issues are how to choose genes, which provide reliable and good prediction for disease status, and how to determine the ...
Liu Qingzhong +8 more
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