Papers: 10.1371/journal.pone.0219980

https://doi.org/10.1371/journal.pone.0219980

Identification of pathological RA endotypes using blood-based biomarkers reflecting tissue metabolism. A retrospective and explorative analysis of two phase III RA studies

Cited by: 10
Author(s): Joseph Blair, Cecilie L. Bager, Adam Platt, Morten A. Karsdal, Anne‐Christine Bay‐Jensen
Published: about 7 years ago

Software Mentions 4

bioconductor: ClusterSignificance
The ClusterSignificance package provides tools to assess if class clusters in dimensionality reduced data representations have a separation different from permuted data
Papers that mentioned: 2
Very Likely Science (100)
cran: factoextra
Extract and Visualize the Results of Multivariate Data Analyses
Papers that mentioned: 650
Very Likely Science (85)
cran: pheatmap
Pretty Heatmaps
Papers that mentioned: 2,572
Very Likely Science (75)
pypi: stats
Calculator-style statistical functions
Papers that mentioned: 3,105
Very Likely Science (90)