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A Computational Framework for Analyzing Stochasticity in Gene Expression
Marc S. Sherman,
Barak A. Cohen
Department of Genetics
Roy and Diana Vagelos Division of Biology & Biomedical Sciences (DBBS)
Institute of Clinical and Translational Sciences (ICTS)
Siteman Cancer Center
Edison Family Center for Genome Sciences & Systems Biology
COVID-19 Researchers
DBBS - Computational and Systems Biology
DBBS - Molecular Genetics and Genomics
Research output
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Contribution to journal
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Article
›
peer-review
21
Scopus citations
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Dive into the research topics of 'A Computational Framework for Analyzing Stochasticity in Gene Expression'. Together they form a unique fingerprint.
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Keyphrases
Gene Expression
100%
Computational Framework
100%
Protein Distribution
100%
Stochasticity
100%
Protein Expression
60%
Molecular Mechanism
40%
Protein Level
20%
Protein Degradation
20%
Cell Population
20%
Transcription-translation
20%
Specific Pattern
20%
Chromatin Modification
20%
Expression Rate
20%
Stochastic Fluctuations
20%
RNA Degradation
20%
Expression Distribution
20%
Analytical Solution
20%
Solution Space
20%
First Four Moments
20%
Transcriptional Bursting
20%
Assumption-free
20%
Biochemistry, Genetics and Molecular Biology
Gene Expression
100%
Protein Expression
75%
Solution and Solubility
50%
Protein Catabolism
25%
Transcription
25%
RNA Degradation
25%
Neuroscience
Gene Expression
100%
Protein Expression
75%