A Probabilistic boolean network approach for the analysis of cancer-specific signalling: A case study of deregulated pdgf signalling in GIST

Keyphrases

• Background Signal 33%
• Cancer-specific 100%
• Candidate Network 33%
• Excellent Performance 33%
• Gastrointestinal Stromal Tumor 100%
• Growth Factor Signaling Pathways 33%
• Individual Treatment 33%
• Inhibitor Treatment 33%
• MAPK Signaling 33%
• Mathematical Modeling Method 33%
• Minimal Parameterization 33%
• Molecular Changes 33%
• Network Approach 100%
• Network Model 33%
• Pdgf 100%
• Perturbation Condition 66%
• Phosphoinositide 3-kinase (PI3K) 33%
• Platelet-derived Growth Factor Receptor (PDGFR) 33%
• Platelet-derived Growth factor-BB (PDGF-BB) 33%
• Probabilistic Boolean Networks 100%
• Protein Data 33%
• Quantitative Change 33%
• Refined Model 33%
• Signal Transduction Pathway 33%
• Signaling Network 66%
• Simultaneous Perturbation 33%
• Steady State 100%
• Steady-state Profile 33%
• Training Dataset 33%
• Treatment Outcome 33%
• Tumor Cells 33%
• Understanding Others 33%
• Validation Data 33%

Biochemistry, Genetics and Molecular Biology

• Growth Factor Signaling 25%
• MAPK Signaling 25%
• Platelet Derived Growth Factor Receptor Alpha 25%
• Platelet-Derived Growth Factor 25%
• Signal Transduction 50%
• Steady State 100%