An open API service providing mapping between scientific papers and software projects that are mentioned in them.

Papers: 10.1371/journal.pone.0252448

https://doi.org/10.1371/journal.pone.0252448

Predicting direct and indirect non-target impacts of biocontrol agents using machine-learning approaches

Cited by: 3
Author(s): Hannah J. Kotula, Guadalupe Peralta, Carol M. Frost, Jacqui H. Todd, Jason M. Tylianakis
Published: about 4 years ago

Software Mentions 7

cran: bipartite
Visualising Bipartite Networks and Calculating Some (Ecological) Indices
Papers that mentioned: 86
Very Likely Science (100)
cran: lme4
Linear Mixed-Effects Models using 'Eigen' and S4
Papers that mentioned: 9,267
Very Likely Science (100)
cran: MuMIn
Multi-Model Inference
Papers that mentioned: 1,276
Very Likely Science (75)
cran: piecewiseSEM
Piecewise Structural Equation Modeling
Papers that mentioned: 123
Very Likely Science (93)
pypi: KNN
implimention of KNN in python
Papers that mentioned: 120
Very Likely Science (65)
pypi: PACE
Data Quality of Experimental Data
Papers that mentioned: 13,779
Very Likely Science (90)
pypi: package
package is a package to package your package
Papers that mentioned: 1,300
Very Likely Science (65)