Papers: 10.1371/journal.pcbi.1007803

https://doi.org/10.1371/journal.pcbi.1007803

Methodological challenges in translational drug response modeling in cancer: A systematic analysis with FORESEE

Cited by: 9
Author(s): Lisa-Katrin Turnhoff, Ali Hadizadeh Esfahani, Andreas Schuppert
Published: over 6 years ago

Software Mentions 10

bioconductor: biomaRt
Interface to BioMart databases (i.e. Ensembl)
Papers that mentioned: 446
Very Likely Science (100)
bioconductor: limma
Linear Models for Microarray Data
Papers that mentioned: 7,776
Very Likely Science (78)
bioconductor: sva
Surrogate Variable Analysis
Papers that mentioned: 511
Very Likely Science (100)
cran: Binarize
Binarization of One-Dimensional Data
Papers that mentioned: 3
Very Likely Science (75)
cran: bootnet
Bootstrap Methods for Various Network Estimation Routines
Papers that mentioned: 69
Very Likely Science (85)
cran: corrplot
Visualization of a Correlation Matrix
Papers that mentioned: 1,077
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: pROC
Display and Analyze ROC Curves
Papers that mentioned: 1,740
Very Likely Science (95)
pypi: ggplot
ggplot for python
Papers that mentioned: 796
Very Likely Science (100)
pypi: stats
Calculator-style statistical functions
Papers that mentioned: 3,105
Very Likely Science (90)