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Papers: 10.1155/2015/693193

https://doi.org/10.1155/2015/693193

Genetic Geostatistical Framework for Spatial Analysis of Fine-Scale Genetic Heterogeneity in Modern Populations: Results from the KORA Study

Cited by: 2
Author(s): Amalia Diaz‐Lacava, Maja Walier, Daniela Höller, Michael Steffens, Christian Gieger, Cesare Furlanello, Claudia Lamina, H‐Erich Wichmann, Tim Becker
Published: over 10 years ago

Software Mentions 8

cran: IMP
Interactive Model Performance Evaluation
Papers that mentioned: 172
Very Likely Science (75)
cran: rgdal
Bindings for the 'Geospatial' Data Abstraction Library
Papers that mentioned: 328
Very Likely Science (75)
cran: sp
Classes and Methods for Spatial Data
Papers that mentioned: 258
Very Likely Science (95)
cran: spdep
Spatial Dependence: Weighting Schemes, Statistics
Papers that mentioned: 233
Very Likely Science (100)
cran: spgrass6
Interface Between GRASS 6+ Geographical Information System and R
Papers that mentioned: 4
Very Likely Science (75)
cran: surf
Survey-Based Gross Flows Estimation
Papers that mentioned: 2
Very Likely Science (75)
pypi: mc
Pure Python Memcached Client
Papers that mentioned: 9
Very Likely Science (65)
pypi: sp
Quickly find out which directories / files are hogging your disk space.
Papers that mentioned: 258
Very Likely Science (65)