The Omics Dashboard for interactive exploration of gene-expression data

Suzanne Paley; Karen Parker; Aaron Spaulding; Jean-Francois Tomb; Paul O’Maille; Peter D. Karp

doi:10.1093/nar/gkx910

The Omics Dashboard for interactive exploration of gene-expression data

Nucleic Acids Research ◽

10.1093/nar/gkx910 ◽

2017 ◽

Vol 45 (21) ◽

pp. 12113-12124 ◽

Cited By ~ 21

Author(s):

Suzanne Paley ◽

Karen Parker ◽

Aaron Spaulding ◽

Jean-Francois Tomb ◽

Paul O’Maille ◽

...

Keyword(s):

Gene Expression ◽

Gene Expression Data ◽

Expression Data ◽

Interactive Exploration

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Interactive Exploration of Hierarchical Density Clusters in Gene Expression Data

2010 Second International Conference on Knowledge and Systems Engineering ◽

10.1109/kse.2010.22 ◽

2010 ◽

Author(s):

Tran Van Long ◽

Lars Linsen

Keyword(s):

Gene Expression ◽

Gene Expression Data ◽

Expression Data ◽

Interactive Exploration

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Interactive exploration of coherent patterns in time-series gene expression data

Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining - KDD '03 ◽

10.1145/956750.956820 ◽

2003 ◽

Cited By ~ 23

Author(s):

Daxin Jiang ◽

Jian Pei ◽

Aidong Zhang

Keyword(s):

Gene Expression ◽

Time Series ◽

Gene Expression Data ◽

Expression Data ◽

Interactive Exploration ◽

Time Series Gene Expression

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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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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.1116793.1165055 ◽

2010 ◽

Author(s):

Anthony D Ho ◽

Eike C Buss ◽

Patrick Wuchter

Keyword(s):

Gene Expression ◽

Stem Cells ◽

Gene Expression Data ◽

In Silico ◽

Leukemia Stem Cells ◽

Expression Data

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Faculty Opinions recommendation of Bayesian method to predict individual SNP genotypes from gene expression data.

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

10.3410/f.14267400.15779623 ◽

2012 ◽

Author(s):

François Cambien

Keyword(s):

Gene Expression ◽

Gene Expression Data ◽

Bayesian Method ◽

Expression Data

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