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Inferring conict-sensitive phosphorylation dynamics
Qiong Cheng
, Mitsunori Ogihara
,
Vineet Gupta
Research output
:
Chapter in Book/Report/Conference proceeding
›
Conference contribution
1
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Scopus citations
Overview
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Dive into the research topics of 'Inferring conict-sensitive phosphorylation dynamics'. Together they form a unique fingerprint.
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Neuroscience
Binding Competition
100%
Cell Communication
100%
Epidermal Growth Factor Receptor
100%
Phosphoprotein
100%
Protein Phosphorylation
100%
Serine
100%
Signal Transduction
100%
Threonine
100%
Keyphrases
Activation Patterns
50%
Binding Competition
16%
Causal Effect
16%
Cell-cell Communication
16%
Conict
100%
Control Signal
16%
Data Integration
16%
Direct Activation
16%
EGFR Signaling Pathway
16%
Graph Theoretic Approach
16%
HeLa Cancer Cells
16%
Homo Sapiens
16%
Human Cells
16%
Indirect Activation
16%
Interaction Pairs
16%
Living Cells
16%
Maximum Bipartite Matching
16%
Min-max
33%
Peak Time
16%
Phosphoproteomics
16%
Phosphorylated Protein
16%
Phosphorylation
100%
Phosphorylation Network
16%
Regulatory Mechanism
16%
Signal Transduction
16%
Soft Clustering
16%
Threonine
16%
Tyrosine Phosphorylation
16%
Whole Network
33%
Biochemistry, Genetics and Molecular Biology
Binding Competition
25%
Cancer Cell
25%
Cell Communication
25%
Dynamics
100%
Epidermal Growth Factor Receptor
25%
Homo sapiens
25%
Phosphoprotein
25%
Phosphoproteome
25%
Serine
25%
Signal Transduction
25%
Solution and Solubility
25%
Threonine
25%
Tyrosine Phosphorylation
25%