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

Papers: 10.3390/cancers12123551

https://doi.org/10.3390/cancers12123551

High-Plex and High-Throughput Digital Spatial Profiling of Non-Small-Cell Lung Cancer (NSCLC)

Cited by: 27
Author(s): James Monkman, Touraj Taheri, Majid Ebrahimi Warkiani, Connor O’Leary, Rahul Ladwa, Derek J. Richard, K.J. O’Byrne, Arutha Kulasinghe
Published: over 4 years ago

Software Mentions 6

bioconductor: DESeq2
Differential gene expression analysis based on the negative binomial distribution
Papers that mentioned: 9,583
Very Likely Science (100)
bioconductor: edgeR
Empirical Analysis of Digital Gene Expression Data in R
Papers that mentioned: 6,568
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: ggpubr
'ggplot2' Based Publication Ready Plots
Papers that mentioned: 856
Very Likely Science (75)
cran: gtsummary
Presentation-Ready Data Summary and Analytic Result Tables
Papers that mentioned: 8
Very Likely Science (100)
cran: survivalAnalysis
High-Level Interface for Survival Analysis and Associated Plots
Papers that mentioned: 3
Very Likely Science (85)