AIMC Topic: Haplotypes

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Supervised machine learning reveals introgressed loci in the genomes of Drosophila simulans and D. sechellia.

PLoS genetics
Hybridization and gene flow between species appears to be common. Even though it is clear that hybridization is widespread across all surveyed taxonomic groups, the magnitude and consequences of introgression are still largely unknown. Thus it is cru...

S/HIC: Robust Identification of Soft and Hard Sweeps Using Machine Learning.

PLoS genetics
Detecting the targets of adaptive natural selection from whole genome sequencing data is a central problem for population genetics. However, to date most methods have shown sub-optimal performance under realistic demographic scenarios. Moreover, over...

Sparse Inverse Covariance Estimation with L0 Penalty for Network Construction with Omics Data.

Journal of computational biology : a journal of computational molecular cell biology
Constructing coexpression and association networks with omics data is crucial for studying gene-gene interactions and underlying biological mechanisms. In recent years, learning the structure of a Gaussian graphical model from high-dimensional data u...