In this work we use Quantitative Association Rules in order to define interrelations between genes. These rules work with intervals on the attributes, without ...
datasets, in which gene expression is linked to another gene expression. A revision of the published literature reveals that exist.
In this work we use Quantitative Association Rules in order to define interrelations between genes. These rules work with intervals on the attributes, without ...
We developed a multi-objective evolutionary algorithm for mining quantitative association rules to deal with this problem. We applied our methodology named ...
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We develop PIDC, a fast, efficient algorithm that uses partial information decomposition (PID) to identify regulatory relationships between genes.
Jun 19, 2018 · In this study, we evaluate the applicability of five general methods and three single cell methods for inferring gene regulatory networks from ...
Aug 26, 2021 · Genome-wide association studies (GWAS) test hundreds of thousands of genetic variants across many genomes to find those statistically associated with a ...
from publication: Inferring gene-gene associations from Quantitative Association Rules | The microarray technique is able to monitor the change in ...
Inferring gene-gene associations from quantitative association rules, Proceedings of the 11th International Conference on Intelligent Systems Designe and ...
Mar 19, 2009 · In this paper, we propose a novel method, referred to as temporal association rule mining (TARM), which can extract temporal dependencies among related genes.