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

Papers: 10.1038/s41598-021-95688-y

https://doi.org/10.1038/s41598-021-95688-y

Identification of markers that distinguish adipose tissue and glucose and insulin metabolism using a multi-modal machine learning approach

Cited by: 6
Author(s): Josefin Henninger, Björn Eliasson, Ulf Smith, Aidin Rawshani
Published: almost 4 years ago

Software Mentions 10

cran: Boruta
Wrapper Algorithm for All Relevant Feature Selection
Papers that mentioned: 192
Very Likely Science (93)
cran: factoextra
Extract and Visualize the Results of Multivariate Data Analyses
Papers that mentioned: 650
Very Likely Science (85)
cran: ggRandomForests
Visually Exploring Random Forests
Papers that mentioned: 16
Very Likely Science (75)
cran: GPArotation
Gradient Projection Factor Rotation
Papers that mentioned: 42
Very Likely Science (75)
cran: Matrix
Sparse and Dense Matrix Classes and Methods
Papers that mentioned: 172
Very Likely Science (75)
cran: missForest
Nonparametric Missing Value Imputation using Random Forest
Papers that mentioned: 178
Very Likely Science (100)
cran: mlr3
Machine Learning in R - Next Generation
Papers that mentioned: 8
Very Likely Science (100)
cran: Rtsne
T-Distributed Stochastic Neighbor Embedding using a Barnes-Hut Implementation
Papers that mentioned: 255
Very Likely Science (100)
pypi: Boruta
Python Implementation of Boruta Feature Selection
Papers that mentioned: 192
Very Likely Science (80)
pypi: Party
Lightweight Python client to the Artifactory API.
Papers that mentioned: 14
Very Likely Science (65)