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

Papers: 10.1186/s12967-017-1285-6

https://doi.org/10.1186/s12967-017-1285-6

In silico prediction of novel therapeutic targets using gene–disease association data

Cited by: 79
Author(s): Enrico Ferrero, Ian Dunham, Philippe Sanséau
Published: almost 8 years ago

Software Mentions 12

bioconductor: biomaRt
Interface to BioMart databases (i.e. Ensembl)
Papers that mentioned: 446
Very Likely Science (100)
cran: e1071
Misc Functions of the Department of Statistics, Probability Theory Group (Formerly: E1071), TU Wien
Papers that mentioned: 419
Very Likely Science (85)
cran: gbm
Generalized Boosted Regression Models
Papers that mentioned: 250
Very Likely Science (100)
cran: ggplot2
Create Elegant Data Visualisations Using the Grammar of Graphics
Papers that mentioned: 11,441
Very Likely Science (100)
cran: jsonlite
A Simple and Robust JSON Parser and Generator for R
Papers that mentioned: 36
Very Likely Science (83)
cran: mlr
Machine Learning in R
Papers that mentioned: 64
Very Likely Science (100)
cran: nnet
Feed-Forward Neural Networks and Multinomial Log-Linear Models
Papers that mentioned: 296
Very Likely Science (93)
cran: randomForest
Breiman and Cutler's Random Forests for Classification and Regression
Papers that mentioned: 1,447
Very Likely Science (100)
cran: rpart
Recursive Partitioning and Regression Trees
Papers that mentioned: 431
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: gbm
Read and analyze GBM data
Papers that mentioned: 250
Very Likely Science (100)
pypi: mlr
Linear regression utility with inference tests, residual analysis, outlier visualization, multicollinearity test, and other features
Papers that mentioned: 64
Likely Science (40)