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In this work, we propose a new greedy clustering algorithm to identify groups of related genes. Clustering algorithms analyze genes in order to group those ...
Abstract. In this work, we propose a new greedy clustering algorithm to identify groups of related genes. Clustering algorithms analyze genes.
LNCS 4224 - Neighborhood-Based Clustering of Gene-Gene Interactions
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Abstract. In this work, we propose a new greedy clustering algorithm to identify groups of related genes. Clustering algorithms analyze genes.
PDF | In this work, we propose a new greedy clustering algorithm to identify groups of related genes. Clustering algorithms analyze genes in order to.
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A new greedy clustering algorithm to identify groups of related genes that present similar positive and/or negative interactions and provides much ...
In this paper, we propose a new approach called gene-based, gene-gene interaction through a maximal neighborhood coefficient (GBMNC), which uses the maximal ...
We developed Nearest Neighbor Networks (NNN), a graph-based algorithm to generate clusters of genes with similar expression profiles. This method produces ...
Feb 20, 2024 · This paper introduces a new approach to cell clustering using the Variable Neighborhood Search (VNS) metaheuristic.
Dec 20, 2019 · We propose a simple encoding of chromosomal gene order, the neighborhood function profiles (NFP), which draws on diverse gene clustering ...
[PDF] Testing Gene-Gene Interactions Based on a Neighborhood ...
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Dec 8, 2021 · Instead, we explored the interaction of two genes in a single gene-based interaction detection by treating SNPs inside a gene as a group. The ...