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Functional mapping for genetic control of programmed cell death
Yuehua Cui
, Jun Zhu
, Rongling Wu
Department of Public Health Sciences
Division of Biostatistics and Bioinformatics
Penn State Cancer Institute
Cancer Institute, Cancer Control
Research output
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Contribution to journal
›
Article
›
peer-review
38
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Scopus citations
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Dive into the research topics of 'Functional mapping for genetic control of programmed cell death'. Together they form a unique fingerprint.
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Keyphrases
Programmed Cell Death
100%
Functional Mapping
100%
Genetic Control
100%
Cell number
66%
Exponential Growth
66%
Developmental Stages
33%
Molecular Markers
33%
Simulation Study
33%
Specific Genes
33%
Statistical Model
33%
Covariance Matrix
33%
Cellular Machinery
33%
Control Cell
33%
Rice
33%
Process-based
33%
Biological Mechanisms
33%
Quantitative Trait Loci
33%
Non-parametric Approach
33%
Organ Development
33%
Stationary Model
33%
Statistical Behavior
33%
Real-world Examples
33%
Parametric Approach
33%
Cell Death Pathways
33%
Exponential Polynomials
33%
Cell Suicide
33%
Mechanisms of Programmed Cell Death
33%
Metazoans
33%
Mathematics
Exponential Growth
100%
Polynomial
50%
Approximates
50%
Covariance Matrix
50%
Simulation Study
50%
Parametric
50%
Quantitative Trait
50%
Statistical Model
50%
Death Process
50%
Exponential Polynomial
50%
Biological Mechanism
50%
Legendre Function
50%