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

Papers: 10.1371/journal.pone.0237412

https://doi.org/10.1371/journal.pone.0237412

The impact of different negative training data on regulatory sequence predictions

Cited by: 3
Author(s): Louisa-Marie Krützfeldt, Max Schubach, Martin Kircher
Published: over 4 years ago

Software Mentions 5

cran: fasta
Fast Adaptive Shrinkage/Thresholding Algorithm
Papers that mentioned: 848
Very Likely Science (60)
cran: pROC
Display and Analyze ROC Curves
Papers that mentioned: 1,740
Very Likely Science (95)
cran: PRROC
Precision-Recall and ROC Curves for Weighted and Unweighted Data
Papers that mentioned: 35
Very Likely Science (83)
pypi: fasta
The fasta python package enables you to deal with biological sequence files easily.
Papers that mentioned: 848
Very Likely Science (80)
pypi: PACE
Data Quality of Experimental Data
Papers that mentioned: 13,779
Very Likely Science (90)