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

Projects: cran: mltools

https://packages.ecosyste.ms/registries/cran.r-project.org/packages/mltools

Machine Learning Tools
8 versions
Latest release: about 7 years ago
8 dependent packages
3,881 downloads last month

Enhanced Analysis
Educational Contributors: [email protected]
Repository Activity:
Repository Owner: Ben (user)
Data Scientist and Founder of GormAnalysis
README Analysis:
Science Score: 100/100
Starting Score: 100 points
Bonuses:
  • +20 Educational commit emails
    1 contributors with educational email addresses
  • +4 Science terms in README
    2 scientific terms found in README
Penalties:
  • -15 No science keywords
    No scientific terms found in keywords/classifiers
Very Likely Science (100)

Papers Mentioning mltools 5

10.1371/journal.pntd.0009252
Optimising predictive modelling of Ross River virus using meteorological variables
Cited by: 4
Author(s): Iain S. Koolhof, Simon M. Firestone, SS Bettiol, Michael A. Charleston, Katherine B Gibney, Peter J. Neville, Andrew Jardine, Scott Carver
Software Mentions: 23
Published: over 4 years ago
10.1186/s13040-021-00235-0
Data analytics and clinical feature ranking of medical records of patients with sepsis
Cited by: 11
Author(s): Davide Chicco, Luca Oneto
Software Mentions: 10
Published: over 4 years ago
10.3389/fmicb.2021.713234
Metabolomic Predictors of Non-alcoholic Steatohepatitis and Advanced Fibrosis in Children
Cited by: 12
Author(s): Kattayoun Kordy, Fan Li, David J Lee, Jason M. Kinchen, Michael Jew, Maria Eduarda La Rocque, Sara Zabih, Mónica Saavedra, Cora L. Woodward, Nicole J Cunningham, Nicole H. Tobin, Grace M. Aldrovandi
Software Mentions: 9
Published: almost 4 years ago
10.1371/journal.pone.0251213
Environmental impacts on single-cell variation within a ubiquitous diatom: The role of growth rate
Cited by: 5
Author(s): Elisabeth Groß, Maarten Boersma, Cédric L. Meunier
Software Mentions: 5
Published: about 4 years ago
10.1371/journal.pone.0235117
Using structured pathology data to predict hospital-wide mortality at admission
Cited by: 6
Author(s): Mieke Deschepper, Willem Waegeman, Dirk Vogelaers, Kristof Eeckloo
Software Mentions: 5
Published: about 5 years ago