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9 maj 2019 · GScluster clusters gene-sets and visualizes networks in seconds to minutes, depending on the size of input gene-set data (Fig. S1). The three example datasets (GSA results) analyzed in this article are available in the GScluster package.
- Clust: automatic extraction of optimal co-expressed gene clusters from ...
We present clust, a method that solves these problems by...
- Differential expression analysis using a model-based gene clustering ...
However, gene clustering has rarely been used for analyzing...
- GeneSetCluster: a tool for summarizing and integrating gene-set ...
We present GeneSetCluster, a novel approach which allows...
- Clust: automatic extraction of optimal co-expressed gene clusters from ...
25 paź 2018 · We present clust, a method that solves these problems by extracting clusters matching the biological expectations of co-expressed genes and outperforms widely used methods. Additionally, clust can simultaneously cluster multiple datasets, enabling users to leverage the large quantity of public expression data for novel comparative analysis.
30 maj 2017 · Clustering finds patterns in data—whether they are there or not. Many biological analyses involve partitioning samples or variables into clusters on the basis of similarity or its converse,...
20 paź 2021 · However, gene clustering has rarely been used for analyzing simple two-group data or differential expression (DE). In this study, we report that a model-based clustering algorithm implemented in an R package, MBCluster.Seq, can also be used for DE analysis.
29 paź 2024 · number_clusters, a function to determine the number of clusters to be used to cluster gene probes and samples. cluster_analysis, a function to perform Kmeans or Hierarchical clustering analysis of the selected gene probe expression data.
7 paź 2020 · We present GeneSetCluster, a novel approach which allows clustering of identified gene-sets, from one or multiple experiments and/or tools, based on shared genes.
25 lis 2024 · Gene expression data is often collected in time series experiments, under different experimental conditions. There may be genes that have very different gene expression profiles over time, but that adjust their gene expression patterns in the same way under experimental conditions. Our aim is to develop a method that finds clusters of genes in which the relationship between these temporal gene ...
