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Prostate cancer gene regulatory network inferred from RNA-seq data
Daniel Moore
, Ricardo de Matos Simoes
, Matthias Dehmer
, Frank Emmert-Streib
*
*
Corresponding author for this work
Research Center Steyr
Research output
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Contribution to journal
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Article
›
peer-review
9
Citations (Scopus)
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Keyphrases
BC3Net
33%
Biological Processes
33%
Cancer Genes
33%
Cancer Genome Atlas
33%
Cancer Hallmarks
33%
Complex Disease
33%
Functional Components
33%
Gene Expression Data
33%
Gene Regulatory Network
100%
Gene-gene Interaction
33%
Genetic Association
33%
Local Landscape
33%
MiRNA Profile
33%
Network-based Analysis
33%
Network-based Systems
33%
Pathological Association
33%
Prostate Cancer
66%
Prostate Cancer Genetics
100%
RNA-seq Data
100%
Systems Approach
33%
Systems Biology Approach
33%
Targeted Cancer Therapy
33%
Biochemistry, Genetics and Molecular Biology
Biological Phenomena and Functions Concerning the Entire Organism
50%
Gene Expression Data
50%
Gene Interaction
50%
Gene Regulatory Network
100%
Genetic Association
50%
Oncogene
100%
RNA Sequencing
100%
Tumor Gene
100%