TreeVis: A MATLAB-based tool for tree visualization

Peng Qiu; Sylvia K. Plevritis

doi:10.1016/j.cmpb.2012.08.008

TreeVis: A MATLAB-based tool for tree visualization

Peng Qiu, Sylvia K. Plevritis

Bioinformatics & Computational Biology

Research output: Contribution to journal › Article › peer-review

5 Scopus citations

Abstract

Network-based analyses of high-dimensional biological data often produce results in the form of tree structures. Generating easily interpretable layouts to visualize these tree structures is a non-trivial task. We present a new visualization algorithm to generate two-dimensional layouts for complex tree structures. Implementations in both MATLAB and R are provided.

Original language	English (US)
Pages (from-to)	74-76
Number of pages	3
Journal	Computer Methods and Programs in Biomedicine
Volume	109
Issue number	1
DOIs	https://doi.org/10.1016/j.cmpb.2012.08.008
State	Published - Jan 2013

Keywords

Matlab
Tree
Visualization

ASJC Scopus subject areas

Software
Computer Science Applications
Health Informatics

MD Anderson CCSG core facilities

Bioinformatics Shared Resource

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10.1016/j.cmpb.2012.08.008

Cite this

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title = "TreeVis: A MATLAB-based tool for tree visualization",

abstract = "Network-based analyses of high-dimensional biological data often produce results in the form of tree structures. Generating easily interpretable layouts to visualize these tree structures is a non-trivial task. We present a new visualization algorithm to generate two-dimensional layouts for complex tree structures. Implementations in both MATLAB and R are provided.",

keywords = "Matlab, Tree, Visualization",

author = "Peng Qiu and Plevritis, {Sylvia K.}",

note = "Funding Information: We gratefully acknowledge funding from the TCGA Genome Data Analysis Center (GDAC) grant and the Cancer Center Support Grant at University of Texas MD Anderson Cancer Center ( U24 CA143883 02 S1 and P30 CA016672 ), as well as the NCI funded Center for Cancer Systems Biology at Stanford (grant U56 CA112973 ).",

year = "2013",

month = jan,

doi = "10.1016/j.cmpb.2012.08.008",

language = "English (US)",

volume = "109",

pages = "74--76",

journal = "Computer Methods and Programs in Biomedicine",

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AU - Plevritis, Sylvia K.

N1 - Funding Information: We gratefully acknowledge funding from the TCGA Genome Data Analysis Center (GDAC) grant and the Cancer Center Support Grant at University of Texas MD Anderson Cancer Center ( U24 CA143883 02 S1 and P30 CA016672 ), as well as the NCI funded Center for Cancer Systems Biology at Stanford (grant U56 CA112973 ).

PY - 2013/1

Y1 - 2013/1

N2 - Network-based analyses of high-dimensional biological data often produce results in the form of tree structures. Generating easily interpretable layouts to visualize these tree structures is a non-trivial task. We present a new visualization algorithm to generate two-dimensional layouts for complex tree structures. Implementations in both MATLAB and R are provided.

AB - Network-based analyses of high-dimensional biological data often produce results in the form of tree structures. Generating easily interpretable layouts to visualize these tree structures is a non-trivial task. We present a new visualization algorithm to generate two-dimensional layouts for complex tree structures. Implementations in both MATLAB and R are provided.

KW - Matlab

KW - Tree

KW - Visualization

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TreeVis: A MATLAB-based tool for tree visualization

Abstract

Keywords

ASJC Scopus subject areas

MD Anderson CCSG core facilities

Access to Document

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