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

Papers: 10.1371/journal.pone.0118808

https://doi.org/10.1371/journal.pone.0118808

Prediction of Chemical Respiratory Sensitizers Using GARD, a Novel In Vitro Assay Based on a Genomic Biomarker Signature

Cited by: 31
Author(s): Andy Forreryd, Henrik Johansson, Ann-Sofie Albrekt, Carl Borrebaeck, Malin Lindstedt
Published: over 10 years ago

Software Mentions 4

bioconductor: SCAN.UPC
Single-channel array normalization (SCAN) and Universal exPression Codes (UPC)
Papers that mentioned: 8
Very Likely Science (100)
bioconductor: sva
Surrogate Variable Analysis
Papers that mentioned: 511
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: ROCR
Visualizing the Performance of Scoring Classifiers
Papers that mentioned: 596
Very Likely Science (75)