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

Papers: 10.1515/tnsci-2021-0002

https://doi.org/10.1515/tnsci-2021-0002

<i>IKBIP</i> is a novel EMT-related biomarker and predicts poor survival in glioma

Cited by: 9
Author(s): Ying Yang, Jin Wang, Shi‐Hai Xu, Wen Lv, Fei Shi, Aijun Shan
Published: over 4 years ago

Software Mentions 7

bioconductor: GSVA
Gene Set Variation Analysis for microarray and RNA-seq data
Papers that mentioned: 893
Very Likely Science (100)
cran: circlize
Circular Visualization
Papers that mentioned: 260
Very Likely Science (100)
cran: corrgram
Plot a Correlogram
Papers that mentioned: 56
Very Likely Science (97)
cran: ggplot2
Create Elegant Data Visualisations Using the Grammar of Graphics
Papers that mentioned: 11,441
Very Likely Science (100)
cran: pheatmap
Pretty Heatmaps
Papers that mentioned: 2,572
Very Likely Science (75)
cran: pROC
Display and Analyze ROC Curves
Papers that mentioned: 1,740
Very Likely Science (95)
pypi: GSVA
Python CLI and module for running the GSVA R bioconductor package with Python Pandas inputs and outputs.
Papers that mentioned: 893
Very Likely Science (100)