Nov 18, 2021 � However, the biclustering algorithm has begun a more powerful data mining tool, which can cluster genes and conditions (cells) simultaneously.
The main idea of the JCB method is that it joints the “mean squared residual (MSR)” proposed by CC with the model of BIMAX. It gets the biclusters by iterating�...
The main idea of the JCB method is that it joints the “mean squared residual (MSR)” proposed by CC with the model of BIMAX. It gets the biclusters by iterating�...
CAbiNet performs efficient co-clustering of cells and their respective marker genes and jointly visualizes the biclusters in a non-linear embedding.
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Mar 29, 2024 � In brief. Gong et al. develop a single-cell Bayesian biclustering (scBC) framework that uncovers functional gene-module.
Oct 30, 2022 � Bi-EB provides a useful biclustering analysis tool to discover the cross patterns hidden both in multiple data matrixes (omics) and species. The�...
Sep 19, 2022 � Biclustering algorithm is an effective tool for processing gene expression datasets. There are two kinds of data matrices, binary data and�...
Biclustering algorithm is an effective tool for processing gene expression datasets. There are two kinds of data matrices, binary data and non-binary data,�...
Mar 29, 2024 � We introduce single-cell Bayesian biclustering (scBC), a framework for identifying cell-specific gene network biomarkers in scRNA and snRNA-seq data.
Nov 16, 2023 � We present a rapid unsupervised biclustering (RUBic) algorithm that achieves this objective with a novel encoding and search strategy.
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