Search Results for author: Alexander Ioannidis

Found 4 papers, 3 papers with code

A deep learning classifier for local ancestry inference

1 code implementation4 Nov 2020 Matthew Aguirre, Jan Sokol, Guhan Venkataraman, Alexander Ioannidis

Local ancestry inference (LAI) identifies the ancestry of each segment of an individual's genome and is an important step in medical and population genetic studies of diverse cohorts.

Image Segmentation Semantic Segmentation

Addressing Ancestry Disparities in Genomic Medicine: A Geographic-aware Algorithm

1 code implementation25 Apr 2020 Daniel Mas Montserrat, Arvind Kumar, Carlos Bustamante, Alexander Ioannidis

With declining sequencing costs a promising and affordable tool is emerging in cancer diagnostics: genomics.

Genomics Populations and Evolution

LAI-Net: Local-Ancestry Inference with Neural Networks

no code implementations22 Apr 2020 Daniel Mas Montserrat, Carlos Bustamante, Alexander Ioannidis

Local-ancestry inference (LAI), also referred to as ancestry deconvolution, provides high-resolution ancestry estimation along the human genome.

Class-Conditional VAE-GAN for Local-Ancestry Simulation

1 code implementation27 Nov 2019 Daniel Mas Montserrat, Carlos Bustamante, Alexander Ioannidis

Techniques to generate training samples that resemble real haploid sequences from ancestries of interest can be useful tools in such scenarios, since a generalized model can often be shared, but the unique human sample sequences cannot.

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