Ecosyste.ms: Papers

An open API service providing mapping between scientific papers and software projects that are mentioned in them.
All mentions data is based on the CZI Software Mentions dataset.

Papers: 10.3390/jcm9092955

https://doi.org/10.3390/jcm9092955

Optimized Identification of Advanced Chronic Kidney Disease and Absence of Kidney Disease by Combining Different Electronic Health Data Resources and by Applying Machine Learning Strategies

Cited by: 8
Author(s): Christoph Weber, Lena Röschke, Luise Modersohn, Christina Lohr, Tobias Kolditz, Udo Hahn, Danny Ammon, Boris Betz, Michael Kiehntopf
Published: over 4 years ago

Software Mentions 8

bioconductor: limma
Linear Models for Microarray Data
Papers that mentioned: 7,776
cran: nlme
Linear and Nonlinear Mixed Effects Models
Papers that mentioned: 3,265
cran: plyr
Tools for Splitting, Applying and Combining Data
Papers that mentioned: 468
cran: pROC
Display and Analyze ROC Curves
Papers that mentioned: 1,740
cran: rio
A Swiss-Army Knife for Data I/O
Papers that mentioned: 3
cran: ROCR
Visualizing the Performance of Scoring Classifiers
Papers that mentioned: 596
pypi: plyr
UNKNOWN
Papers that mentioned: 468
pypi: rio
RESTful event dispatcher based on celery.
Papers that mentioned: 3