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Servet: A Benchmark Suite for Autotuning on Multicore Clusters
(Institute of Electrical and Electronics Engineers, 2010-05-24)
[Abstract] MapReduce is a powerful tool for processing large data sets used by many applications running in distributed environments. However, despite the increasing number of computationally intensive problems that require ...
Hybrid CPU/GPU Acceleration of Detection of 2-SNP Epistatic Interactions in GWAS
(Springer, 2014-08)
[Abstract] High-throughput genotyping technologies allow the collection of up to a few million genetic markers (such as SNPs) of an individual within a few minutes of time. Detecting epistasis, such as 2-SNP interactions, ...
Toxo: A Library for Calculating Penetrance Tables of High-Order Epistasis Models
(BioMed Central Ltd., 2020-04-09)
[Abstract]
Background
Epistasis is defined as the interaction between different genes when expressing a specific phenotype. The most common way to characterize an epistatic relationship is using a penetrance table, which ...
Acceleration of a Feature Selection Algorithm Using High Performance Computing
(MDPI AG, 2020-09-01)
[Abstract]
Feature selection is a subfield of data analysis that is on reducing the dimensionality of datasets, so that subsequent analyses over them can be performed in affordable execution times while keeping the same ...
BetaGPU: Harnessing GPU power for parallelized beta distribution functions
(Elsevier, 2025-02)
[Abstract]: The efficient computation of Beta distribution functions, particularly the Probability Density Function (PDF) and Cumulative Distribution Function (CDF), is critical in various scientific fields, including ...
A SIMD Algorithm for the Detection of Epistatic Interactions of Any Order
(Elsevier, 2022)
[Abstract] Epistasis is a phenomenon in which a phenotype outcome is determined by the interaction of genetic variation at two or more loci and it cannot be attributed to the additive combination of effects corresponding ...
PyToxo: a Python tool for calculating penetrance tables of high-order epistasis models
(BMC, 2022)
[Abstract] Background
Epistasis is the interaction between different genes when expressing a certain phenotype. If epistasis involves more than two loci it is called high-order epistasis. High-order epistasis is an area ...
Multithreaded and Spark parallelization of feature selection filters
(2016)
[Abstract]: Vast amounts of data are generated every day, constituting a volume that is challenging to analyze. Techniques such as feature selection are advisable when tackling large datasets. Among the tools that provide ...
Parallelization of ARACNe, an Algorithm for the Reconstruction of Gene Regulatory Networks
(M D P I AG, 2019-07-31)
[Abstract] Gene regulatory networks are graphical representations of molecular regulators that interact with each other and with other substances in the cell to govern the gene expression. There are different computational ...
Speed and accuracy improvement of higher-order epistasis detection on CUDA-enabled GPUs
(Springer, 2017)
[Abstract]: The discovery of higher-order epistatic interactions is an important task in the field of genome wide association studies which allows for the identification of complex interaction patterns between multiple ...
