Scientific Computing at Uppsala University

Scientific Computing at Uppsala University's repositories

Imputation of genotype data based on the full probabilistic Li and Stephens model

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Matlab library for prototyping Summation-by-parts finite-differences schemes. Mirror of https://bitbucket.org/sbpteam/sbplib/

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Repository for SeSE course GPU programming for Machine Learning and Data Processing

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A shim file system giving excellent throughput by assuming all I/O operations CAN complete successfully.

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Compute haplotype and genotype probabilities, and perform imputation, in arbitrary pedigrees, including cases under possible observational errors.

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Convolutional autoencoder for genotype data

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Clustering a set of haplotypes by successive splitting and merging steps.

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methods for handling missing data in PCA

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