ClutrFree: Cluster Tree Visualization and Interpretation

Overview

Journal Bioinformatics

Publisher Oxford University Press

Specialty Biology

Date 2004 May 18

PMID 15145813

Citations 12

Authors

Ghislain Bidaut

Michael F Ochs

Affiliations

Soon will be listed here.

Abstract

Unlabelled: ClutrFree facilitates the visualization and interpretation of clusters or patterns computed from microarray data through a graphical user interface that displays patterns, membership information of the genes and annotation statistics simultaneously. ClutrFree creates a tree linking the patterns based on similarity, permitting the navigation among patterns identified by different algorithms or by the same algorithm with different parameters, and aids the inferring of conclusions from a microarray experiment.

Availability: The ClutrFree Java source code and compiled bytecode are available as a package under the GNU General Public License at http://bioinformatics.fccc.edu

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Matrix factorization and transfer learning uncover regulatory biology across multiple single-cell ATAC-seq data sets.

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Decomposing Cell Identity for Transfer Learning across Cellular Measurements, Platforms, Tissues, and Species.

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A Mechanism of Resistance to Antibody-Targeted Immune Attack.

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Matrix Factorization for Transcriptional Regulatory Network Inference.

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PMID: 25364782 PMC: 4212829. DOI: 10.1109/CIBCB.2012.6217256.