Distinguishing positive selection from neutral evolution: boosting the performance of summary statistics.
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Predicting Carriers of Ongoing Selective Sweeps without Knowledge of the Favored AlleleWhy to account for finite sites in population genetic studies and how to do this with Jaatha 2.0Inferring Selective Constraint from Population Genomic Data Suggests Recent Regulatory Turnover in the Human Brain.Improved haplotype-based detection of ongoing selective sweeps towards an application in Arabidopsis thaliana.A novel approach for choosing summary statistics in approximate Bayesian computation.Composite selection signals can localize the trait specific genomic regions in multi-breed populations of cattle and sheepS/HIC: Robust Identification of Soft and Hard Sweeps Using Machine LearningDeep Learning for Population Genetic Inference.HacDivSel: Two new methods (haplotype-based and outlier-based) for the detection of divergent selection in pairs of populations.A fast estimate for the population recombination rate based on regression.Learning natural selection from the site frequency spectrum.Joint analysis of demography and selection in population genetics: where do we stand and where could we go?A survey of methods and tools to detect recent and strong positive selection.Hierarchical boosting: a machine-learning framework to detect and classify hard selective sweeps in human populations.Detecting the Genomic Signature of Divergent Selection in Presence of Gene Flow.An Update on Statistical Boosting in Biomedicine.Soft Sweeps Are the Dominant Mode of Adaptation in the Human Genome.Detecting Recent Positive Selection With a Single Locus Test Bi-Partitioning the Coalescent Tree.Supervised Machine Learning for Population Genetics: A New Paradigm.Localization of adaptive variants in human genomes using averaged one-dependence estimation.diploS/HIC: An Updated Approach to Classifying Selective Sweeps.Supervised machine learning reveals introgressed loci in the genomes of Drosophila simulans and D. sechellia.Effect of collapsed duplications on diversity estimates: what to expect
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P2860
Distinguishing positive selection from neutral evolution: boosting the performance of summary statistics.
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2010 nî lūn-bûn
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name
Distinguishing positive select ...... ormance of summary statistics.
@en
type
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Distinguishing positive select ...... ormance of summary statistics.
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prefLabel
Distinguishing positive select ...... ormance of summary statistics.
@en
P2093
P2860
P1433
P1476
Distinguishing positive select ...... formance of summary statistics
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P2093
Christian Schlötterer
Haipeng Li
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P304
P356
10.1534/GENETICS.110.122614
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P577
2010-11-01T00:00:00Z