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

Papers: 10.1038/s41598-018-33077-8

https://doi.org/10.1038/s41598-018-33077-8

Machine-learning based lipid mediator serum concentration patterns allow identification of multiple sclerosis patients with high accuracy

Cited by: 41
Author(s): Jörn Lötsch, Susanne Schiffmann, Katja Schmitz, R. Brunkhorst, F. Javier Lerch, Nerea Ferreirós, Sabine Wicker, Irmgard Tegeder, Gerd Geißlinger, Alfred Ultsch
Published: almost 7 years ago

Software Mentions 10

cran: ABCanalysis
Computed ABC Analysis
Papers that mentioned: 7
Very Likely Science (93)
cran: AdaptGauss
Gaussian Mixture Models (GMM)
Papers that mentioned: 7
Very Likely Science (75)
cran: DatabionicSwarm
Swarm Intelligence for Self-Organized Clustering
Papers that mentioned: 3
Very Likely Science (75)
cran: igraph
Network Analysis and Visualization
Papers that mentioned: 1,555
Very Likely Science (100)
cran: KernelKnn
Kernel k Nearest Neighbors
Papers that mentioned: 3
Very Likely Science (79)
cran: MLmetrics
Machine Learning Evaluation Metrics
Papers that mentioned: 11
Very Likely Science (85)
cran: pROC
Display and Analyze ROC Curves
Papers that mentioned: 1,740
Very Likely Science (95)
cran: randomForest
Breiman and Cutler's Random Forests for Classification and Regression
Papers that mentioned: 1,447
Very Likely Science (100)
cran: Umatrix
Visualization of Structures in High-Dimensional Data
Papers that mentioned: 6
Very Likely Science (93)
pypi: igraph
High performance graph data structures and algorithms
Papers that mentioned: 1,555
Very Likely Science (100)