Multiscale Binarization of Gene Expression Data for Reconstructing Boolean Networks

M. Hopfensitz; C. Mussel; C. Wawra; M. Maucher; M. Kuhl; H. Neumann; H. A. Kestler

doi:10.1109/tcbb.2011.62

Multiscale Binarization of Gene Expression Data for Reconstructing Boolean Networks

IEEE/ACM Transactions on Computational Biology and Bioinformatics ◽

10.1109/tcbb.2011.62 ◽

2012 ◽

Vol 9 (2) ◽

pp. 487-498 ◽

Cited By ~ 24

Author(s):

M. Hopfensitz ◽

C. Mussel ◽

C. Wawra ◽

M. Maucher ◽

M. Kuhl ◽

...

Keyword(s):

Gene Expression ◽

Gene Expression Data ◽

Boolean Networks ◽

Expression Data

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Inferring Boolean networks with perturbation from sparse gene expression data: a general model applied to the interferon regulatory network

Molecular BioSystems ◽

10.1039/b804649b ◽

2008 ◽

Vol 4 (10) ◽

pp. 1024 ◽

Cited By ~ 3

Author(s):

Le Yu ◽

Steven Watterson ◽

Stephen Marshall ◽

Peter Ghazal

Keyword(s):

Gene Expression ◽

Gene Expression Data ◽

General Model ◽

Regulatory Network ◽

Boolean Networks ◽

Expression Data

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Inferring context-sensitive Probabilistic Boolean Networks from gene expression data under multi-biological conditions

BMC Systems Biology ◽

10.1186/1752-0509-1-s1-p63 ◽

2007 ◽

Vol 1 (S1) ◽

Cited By ~ 1

Author(s):

Le Yu ◽

Stephen Marshall

Keyword(s):

Gene Expression ◽

Gene Expression Data ◽

Boolean Networks ◽

Expression Data ◽

Context Sensitive ◽

Probabilistic Boolean Networks

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Reconstructing Boolean networks from noisy gene expression data

ICARCV 2004 8th Control, Automation, Robotics and Vision Conference, 2004. ◽

10.1109/icarcv.2004.1468988 ◽

2005 ◽

Author(s):

Zheng Yun ◽

Kwoh Chee Keong

Keyword(s):

Gene Expression ◽

Gene Expression Data ◽

Boolean Networks ◽

Expression Data

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Modeling gene expression data using probabalistic Boolean networks (PSNS)

IET Seminar on Signal Processing for Genomics ◽

10.1049/ic:20060368 ◽

2006 ◽

Author(s):

S. Marshall ◽

Le Yu

Keyword(s):

Gene Expression ◽

Gene Expression Data ◽

Boolean Networks ◽

Expression Data

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Cancer Classification from Gene Expression data using Fuzzy-Rough techniques An Empirical Study

International Journal of Computer Sciences and Engineering ◽

10.26438/ijcse/v6i6.415420 ◽

2018 ◽

Vol 6 (6) ◽

pp. 415-420

Author(s):

Ansuman Kumar ◽

Anindya Halder

Keyword(s):

Gene Expression ◽

Empirical Study ◽

Gene Expression Data ◽

Cancer Classification ◽

Expression Data

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Statistical methods for analysis of time course gene expression data

Frontiers in Bioscience ◽

10.2741/a743 ◽

2002 ◽

Vol 7 (1) ◽

pp. a90-98 ◽

Cited By ~ 5

Author(s):

Hongzhe Li

Keyword(s):

Gene Expression ◽

Statistical Methods ◽

Gene Expression Data ◽

Time Course ◽

Expression Data

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Faculty Opinions recommendation of A new type of stochastic dependence revealed in gene expression data.

Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature ◽

10.3410/f.1032265.370760 ◽

2006 ◽

Author(s):

Arcady Mushegian

Keyword(s):

Gene Expression ◽

Gene Expression Data ◽

Expression Data ◽

Stochastic Dependence ◽

New Type

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Faculty Opinions recommendation of A systematic comparison and evaluation of biclustering methods for gene expression data.

Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature ◽

10.3410/f.1087930.540878 ◽

2007 ◽

Author(s):

Daniel Chamovitz

Keyword(s):

Gene Expression ◽

Gene Expression Data ◽

Expression Data ◽

Systematic Comparison

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Faculty Opinions recommendation of CAERUS: predicting CAncER oUtcomeS using relationship between protein structural information, protein networks, gene expression data, and mutation data.

Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature ◽

10.3410/f.11029956.11977055 ◽

2011 ◽

Author(s):

Yuanpeng Janet Huang

Keyword(s):

Gene Expression ◽

Gene Expression Data ◽

Structural Information ◽

Protein Networks ◽

Expression Data ◽

Cancer Outcomes ◽

Mutation Data

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Faculty Opinions recommendation of Discovery of agents that eradicate leukemia stem cells using an in silico screen of public gene expression data.

Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature ◽

10.3410/f.1116793.572870 ◽

2008 ◽

Author(s):

Laura Haneline

Keyword(s):

Gene Expression ◽

Stem Cells ◽

Gene Expression Data ◽

In Silico ◽

Leukemia Stem Cells ◽

Expression Data

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