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

Papers: 10.1371/journal.pcbi.1006826

https://doi.org/10.1371/journal.pcbi.1006826

Machine learning analysis of gene expression data reveals novel diagnostic and prognostic biomarkers and identifies therapeutic targets for soft tissue sarcomas

Cited by: 65
Author(s): David G.P. van IJzendoorn, Károly Szuhai, Inge H. Briaire-de Bruijn, Marie Kostine, Marieke L. Kuijjer, Judith V.M.G. Bovée
Published: over 6 years ago

Software Mentions 7

bioconductor: GEOquery
Get data from NCBI Gene Expression Omnibus (GEO)
Papers that mentioned: 328
Very Likely Science (100)
cran: GOplot
Visualization of Functional Analysis Data
Papers that mentioned: 269
Very Likely Science (85)
cran: igraph
Network Analysis and Visualization
Papers that mentioned: 1,555
Very Likely Science (100)
cran: maxstat
Maximally Selected Rank Statistics
Papers that mentioned: 72
Very Likely Science (85)
cran: randomForest
Breiman and Cutler's Random Forests for Classification and Regression
Papers that mentioned: 1,447
Very Likely Science (100)
cran: Rtsne
T-Distributed Stochastic Neighbor Embedding using a Barnes-Hut Implementation
Papers that mentioned: 255
Very Likely Science (100)
pypi: igraph
High performance graph data structures and algorithms
Papers that mentioned: 1,555
Very Likely Science (100)