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Introduction: Cancer gene networks
Robert Clarke
Research output
:
Contribution to journal
›
Editorial
›
peer-review
7
Scopus citations
Overview
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Dive into the research topics of 'Introduction: Cancer gene networks'. Together they form a unique fingerprint.
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Keyphrases
Cancer Genes
100%
Gene Network
100%
Systems Biology
100%
Multiscale Modeling
50%
Imaging Technology
25%
Disease Progression
25%
Mathematical Modeling
25%
Proteomics
25%
Machine Learning
25%
Polymorphism
25%
Motility
25%
Computational Modeling
25%
New Drugs
25%
Cancer Biology
25%
Metabolomics
25%
High-dimensional Data
25%
Kinome
25%
Transcriptomics
25%
Methylome
25%
Drug Therapy
25%
Disease Outcome
25%
Alternative Splicing
25%
Omics Technologies
25%
Predictive Models
25%
Drug Repurposing
25%
Therapeutic Benefits
25%
Input-output
25%
System Function
25%
Next-generation Sequencing
25%
Mutually Exclusive
25%
Growth Arrest
25%
RNA Sequencing (RNA-seq)
25%
Protein Signaling
25%
High Performance Liquid Chromatography-tandem Mass Spectrometry (HPLC-MS/MS)
25%
Low Quality Data
25%
System Features
25%
Ordinary Differential Equations
25%
Splicing mutation
25%
Gene Expression Microarray
25%
Organic Molecules
25%
Patient Subgroups
25%
Time Dose
25%
Cellular Phenotype
25%
Molecular Reaction
25%
High-throughput Omics
25%
Inorganic Molecules
25%
Exclusive-OR
25%
Enzyme Substrates
25%
Coordination Interaction
25%
Integrated Interactions
25%
Existing Drugs
25%
Local Features
25%
Academic Pursuit
25%
Methodological Insights
25%
Semi-mechanistic Model
25%
Network Vulnerability
25%
Biochemical Reactions
25%
Biochemistry, Genetics and Molecular Biology
Gene Network
100%
Isoform
50%
DNA Microarray
50%
Next Generation Sequencing
50%
Signaling Protein
50%
Methylome
50%
High Performance Liquid Chromatography-Mass Spectrometry
50%
Ultra High Performance Liquid Chromatography
50%
Kinome
50%
Proteomics
50%
Metabolomics
50%
Prevalence
50%
Transcriptomics
50%
Enzyme Substrate
50%
Genomics
50%
Tamsulosin
50%
Neuroscience
Proteomics
100%
Transcriptomics
100%
Growth Disorder
100%
Enzyme Substrate
100%
DNA Microarray
100%
Liquid Chromatography-Mass Spectrometry
100%
Tamsulosin
100%
Pharmacology, Toxicology and Pharmaceutical Science
Malignant Neoplasm
100%
Disease
100%
Pharmacotherapy
50%
Ultra High Performance Liquid Chromatography
50%
Tamsulosin
50%
Biological Marker
50%
Prevalence
50%
Growth Disorder
50%
Drug Repositioning
50%