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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 ...
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 ...
ScalaParBiBit: Scaling the Binary Biclustering in Distributed-Memory Systems
(SpringerLink, 2021-03-19)
[Abstract] Biclustering is a data mining technique that allows us to find groups of rows and columns that are highly correlated in a 2D dataset. Although there exist several software applications to perform biclustering, ...
Parallel definition of tear film maps on distributed-memory clusters for the support of dry eye diagnosis
(Elsevier Ireland Ltd., 2017)
[Abstract] Background and objectives
The analysis of the interference patterns on the tear film lipid layer is a useful clinical test to diagnose dry eye syndrome. This task can be automated with a high degree of accuracy ...
Parallel and Scalable Short-Read Alignment on Multi-Core Clusters Using UPC++
(Johannes Gutenberg University Mainz, 2016)
[Abstract]: The growth of next-generation sequencing (NGS) datasets poses a challenge to the alignment of reads to reference genomes in terms of alignment quality and execution speed. Some available aligners have been shown ...
A general and efficient divide-and-conquer algorithm framework for multi-core clusters
(SpringerLink, 2017)
[Abstract]Divide-and-conquer is one of the most important patterns of parallelism, being applicable to a large variety of problems. In addition, the most powerful parallel systems available nowadays are computer clusters ...
Performance Optimization of a Parallel Error Correction Tool
(MDPI, 2021)
[Abstract] Due to the continuous development in the field of Next Generation Sequencing (NGS) technologies that have allowed researchers to take advantage of greater genetic samples in less time, it is a matter of relevance ...
Parallel-FST: A feature selection library for multicore clusters
(Elsevier, 2022-11)
[Abstract]: Feature selection is a subfield of machine learning focused on reducing the dimensionality of datasets by performing a computationally intensive process. This work presents Parallel-FST, a publicly available ...
Fast search of third-order epistatic interactions on CPU and GPU clusters
(Sage Publications Ltd., 2019-05-27)
[Abstract]
Genome-Wide Association Studies (GWASs), analyses that try to find a link between a given phenotype (such as a disease) and genetic markers, have been growing in popularity in the recent years. Relations between ...
An Efficient Ant Colony Optimization Framework for HPC Environments
(Elsevier, 2022)
[Abstract] Combinatorial optimization problems arise in many disciplines, both in the basic sciences and in applied fields such as engineering and economics. One of the most popular combinatorial optimization methods is ...