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Papers: 10.1093/aob/mcy221

https://doi.org/10.1093/aob/mcy221

Root and shoot variation in relation to potential intermittent drought adaptation of Mesoamerican wild common bean (Phaseolus vulgaris L.)

Cited by: 38
Author(s): Jorge C. Berny Mier y Teran, Enéas Ricardo Konzen, Viviana Medina, Antonia Palkovic, Andrea Ariani, Siu Mui Tsai, Matthew E. Gilbert, Paul Gepts
Published: about 7 years ago

Software Mentions 10

cran: adegenet
Exploratory Analysis of Genetic and Genomic Data
Papers that mentioned: 767
Very Likely Science (100)
cran: bnlearn
Bayesian Network Structure Learning, Parameter Learning and Inference
Papers that mentioned: 113
Very Likely Science (85)
cran: corrplot
Visualization of a Correlation Matrix
Papers that mentioned: 1,077
Very Likely Science (100)
cran: lme4
Linear Mixed-Effects Models using 'Eigen' and S4
Papers that mentioned: 9,267
Very Likely Science (100)
cran: lmerTest
Tests in Linear Mixed Effects Models
Papers that mentioned: 1,865
Very Likely Science (100)
cran: pcadapt
Fast Principal Component Analysis for Outlier Detection
Papers that mentioned: 64
Very Likely Science (100)
cran: piecewiseSEM
Piecewise Structural Equation Modeling
Papers that mentioned: 123
Very Likely Science (93)
cran: raster
Geographic Data Analysis and Modeling
Papers that mentioned: 561
Very Likely Science (85)
cran: sjstats
Collection of Convenient Functions for Common Statistical Computations
Papers that mentioned: 74
Very Likely Science (100)
pypi: bnlearn
Python package for learning the graphical structure of Bayesian networks, parameter learning, inference and sampling methods.
Papers that mentioned: 113
Very Likely Science (90)