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Correlation analysis between geographical factors.
Abstract
Correlation analysis between geographical factors.</p- Dataset
- Dataset
- Evolutionary Biology
- Ecology
- Environmental Sciences not elsewhere classified
- Biological Sciences not elsewhere classified
- support vector machine
- middle value zone
- low value zone
- level terrain step
- high value zone
- 16 geographical factors
- third terrain steps
- 502 healthy men
- spatial distribution map
- rbp reference values
- reference values
- healthy men
- distribution map
- spatial distribution
- geographical environment
- spatial autocorrelation
- xlink ">
- theoretical basis
- regional differences
- medical diagnosis
- gradual increase
- geographic perspective
- different regions
- correlation analysis
- binding protein
- base data
- 256 cities
- 2322 cities
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Last time updated on 04/02/2024
This paper was published in The Francis Crick Institute.
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