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

Papers: 10.1038/s41597-019-0207-2

https://doi.org/10.1038/s41597-019-0207-2

Compendiums of cancer transcriptomes for machine learning applications

Cited by: 13
Author(s): Su Bin Lim, Swee Jin Tan, Wan-Teck Lim, Chwee Teck Lim
Published: almost 6 years ago

Software Mentions 7

bioconductor: ArrayExpress
Access the ArrayExpress Collection at EMBL-EBI Biostudies and build Bioconductor data structures: ExpressionSet, AffyBatch, NChannelSet
Papers that mentioned: 1,962
Very Likely Science (83)
bioconductor: edgeR
Empirical Analysis of Digital Gene Expression Data in R
Papers that mentioned: 6,568
Very Likely Science (100)
bioconductor: limma
Linear Models for Microarray Data
Papers that mentioned: 7,776
Very Likely Science (78)
bioconductor: RRHO
Inference on agreement between ordered lists
Papers that mentioned: 22
Very Likely Science (90)
cran: glmnet
Lasso and Elastic-Net Regularized Generalized Linear Models
Papers that mentioned: 1,607
Very Likely Science (100)
cran: pROC
Display and Analyze ROC Curves
Papers that mentioned: 1,740
Very Likely Science (95)
pypi: glmnet
Python wrapper for glmnet
Papers that mentioned: 1,607
Very Likely Science (100)