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Capturing resilience from phenotypic deviations: a case study using feed consumption and whole genome data in pigs
Published 2024-11-01Subjects: “…Whole genome sequence…”
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Boundedness of Variance Functions of Natural Exponential Families with Unbounded Support
Published 2025-06-01“…The variance function (VF) is central to natural exponential family (NEF) theory. …”
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Orthogonal control of expression mean and variance by epigenetic features at different genomic loci
Published 2015-05-01Get full text
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DSLE2 random-effects meta-analysis model for high-throughput methylation data
Published 2025-03-01Subjects: “…Methylation sequencing data…”
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An Improvement of Least Squares Theory: Theory of Least p-Variances Approximation and p-Uncorrelated Functions
Published 2025-07-01“…Finally, we generalize the concept of least p-variance approximations based on several fixed orthogonal variables.…”
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The genomic and epigenomic landscape of iridocorneal endothelial syndrome
Published 2025-05-01Subjects: “…Copy number variance…”
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Quantifying the effects of the mitochondrial genome on milk production traits in dairy cows: Empirical results and modeling challenges
Published 2025-01-01Subjects: Get full text
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Detecting change in stochastic sound sequences.
Published 2018-05-01“…It has been previously shown that the brain is sensitive to the marginal lower-order statistics of sound sequences (i.e., mean and variance). In this work, we investigate the brain's sensitivity to higher-order statistics describing temporal dependencies between sound events through a series of change detection experiments, where listeners are asked to detect changes in randomness in the pitch of tone sequences. …”
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Structural and antigenic variance between novel influenza A/H1N1/2009 and influenza A/H1N1/2008 viruses
Published 2009-11-01Get full text
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The expected variation of random bounded integer sequences of finite length
Published 2005-01-01“…From the enumerative generating function of an abstract adjacency statistic, we deduce the mean and variance of the variation on random permutations, rearrangements, compositions, and bounded integer sequences of finite length.…”
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BASiCS: Bayesian Analysis of Single-Cell Sequencing Data.
Published 2015-06-01“…Single-cell mRNA sequencing can uncover novel cell-to-cell heterogeneity in gene expression levels in seemingly homogeneous populations of cells. …”
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Application of Principal Component Analysis for Gene Sequences (cDNA microarrays)
Published 2020-02-01“…According to methods, if we assume that the first 9 eigen values are enough to describe the whole variance, then in this case, it is thought that it is good enough to describe the whole variance by using 9 eigen values with a variance loss of 20,79% instead of describing the whole variance by using 20 eigen values.…”
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Optimized detection of insertions/deletions (INDELs) in whole-exome sequencing data.
Published 2017-01-01“…Insertion and deletion (INDEL) mutations, the most common type of structural variance, are associated with several human diseases. …”
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