Since their inception, several tools have been developed for cluster analysis and heatmap construction. The application of such tools to the number and types of genome-wide data available from next generation sequencing (NGS) technologies requires the adaptation of statistical concepts, such as in defining a most variable gene set, and more intricate cluster analyses method to address multiple omic data types. Additionally, the growing number of publicly available datasets has created the desire to estimate the statistical significance of a gene signature derived from one dataset to similarly group samples based on another dataset. The currently available number of tools and their combined use for generating heatmaps, along with the several...
We developed a user-friendly, interactive program to simultaneously cluster and visualize omics data...
Clustering is a popular technique for explorative analysis of data, as it can reveal subgroup-ings a...
Abstract Background The clustered heat map is the most popular means of visualizing genomic data. It...
Since their inception, several tools have been developed for cluster analysis and heatmap constructi...
Workflows available in NOJAH to perform a genome-wide heatmap analysis of a single molecular data ty...
A) Genome-wide dendogram based on 50,248 genes using row normalization, 1-pearson correlation distan...
textabstractBACKGROUND: Accurate interpretation of data obtained by unsupervised analysis of large s...
In the past couple of decades, genome-wide association studies (GWAS) have become a widely used appr...
Abstract Background Accurate interpretation of data obtained by unsupervised analysis of large scale...
A) Genome-wide Heatmap (GWH) Analysis. A GWH analysis workflow was applied to each data type, result...
<p>The heatmap was generated by performing unsupervised hierarchical clustering of the gene expressi...
A new unsupervised gene clustering algorithm based on the integration of biological knowledge into e...
In this work a new clustering approach is used to explore a well- known dataset [Whitfield, M. L., S...
In this work a new clustering approach is used to explore a well- known dataset [Whitfield, M. L., S...
<p>Heatmap of clustering analysis based on the top 50 functional genes in the samples.</p
We developed a user-friendly, interactive program to simultaneously cluster and visualize omics data...
Clustering is a popular technique for explorative analysis of data, as it can reveal subgroup-ings a...
Abstract Background The clustered heat map is the most popular means of visualizing genomic data. It...
Since their inception, several tools have been developed for cluster analysis and heatmap constructi...
Workflows available in NOJAH to perform a genome-wide heatmap analysis of a single molecular data ty...
A) Genome-wide dendogram based on 50,248 genes using row normalization, 1-pearson correlation distan...
textabstractBACKGROUND: Accurate interpretation of data obtained by unsupervised analysis of large s...
In the past couple of decades, genome-wide association studies (GWAS) have become a widely used appr...
Abstract Background Accurate interpretation of data obtained by unsupervised analysis of large scale...
A) Genome-wide Heatmap (GWH) Analysis. A GWH analysis workflow was applied to each data type, result...
<p>The heatmap was generated by performing unsupervised hierarchical clustering of the gene expressi...
A new unsupervised gene clustering algorithm based on the integration of biological knowledge into e...
In this work a new clustering approach is used to explore a well- known dataset [Whitfield, M. L., S...
In this work a new clustering approach is used to explore a well- known dataset [Whitfield, M. L., S...
<p>Heatmap of clustering analysis based on the top 50 functional genes in the samples.</p
We developed a user-friendly, interactive program to simultaneously cluster and visualize omics data...
Clustering is a popular technique for explorative analysis of data, as it can reveal subgroup-ings a...
Abstract Background The clustered heat map is the most popular means of visualizing genomic data. It...