Mar 31, 2021 · Here, we propose a novel biclustering method for miRNA-targeted gene data based on graph autoencoder named as GAEBic.
Gracob is a graph-based constant column biclustering algorithm, and it is designed to find the largest constant column bicluster in any given data matrix. The ...
Unlike traditional clustering analysis, the biclustering algorithm works simultaneously on two dimensions of samples (row) and variables (column).
Each coloured thread in the circle represents a different type of online attention and the number in the centre is the Altmetric score. The score is calculated ...
2021, 36(2): 299-309. GAEBic: A Novel Biclustering Analysis Method for miRNA-Targeted Gene Data Based on Graph Autoencoder .
Mar 5, 2021 · GAEBic: A Novel Biclustering Analysis Method for miRNA-Targeted Gene Data Based on Graph Autoencoder · Li Wang, Hao Zhang, Hao-Wu Chang, Qing ...
Keyword: binary data. Regular Paper. GAEBic: A Novel Biclustering Analysis Method for miRNA-Targeted Gene Data Based on Graph Autoencoder. Li Wang, Hao Zhang ...
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Abstract: In this paper, we present a new biclustering algorithm to provide the geometrical interpretation of similar microarray gene expression profiles.
Oct 22, 2024 · Gracob showed superior performance on finding co-fit genes over all the existing methods on both a variety of synthetic data sets with a wide ...