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Papers: 10.3390/genes11060677

https://doi.org/10.3390/genes11060677

Predicting Functions of Uncharacterized Human Proteins: From Canonical to Proteoforms

Cited by: 6
Author(s): Ekaterina V. Poverennaya, Olga I. Kiseleva, Anastasia Romanova, Mikhail A. Pyatnitskiy
Published: about 5 years ago

Software Mentions 10

bioconductor: BioPlex
Papers that mentioned: 84
Unlikely Science (0)
bioconductor: ComplexHeatmap
Make Complex Heatmaps
Papers that mentioned: 565
Very Likely Science (90)
bioconductor: COSNet
Cost Sensitive Network for node label prediction on graphs with highly unbalanced labelings
Papers that mentioned: 8
Very Likely Science (100)
bioconductor: GOSemSim
GO-terms Semantic Similarity Measures
Papers that mentioned: 118
Very Likely Science (90)
bioconductor: SMAD
Statistical Modelling of AP-MS Data (SMAD)
Papers that mentioned: 4
Very Likely Science (100)
bioconductor: ViSEAGO
ViSEAGO: a Bioconductor package for clustering biological functions using Gene Ontology and semantic similarity
Papers that mentioned: 14
Very Likely Science (90)
cran: graphlayouts
Additional Layout Algorithms for Network Visualizations
Papers that mentioned: 2
Very Likely Science (100)
cran: igraph
Network Analysis and Visualization
Papers that mentioned: 1,555
Very Likely Science (100)
cran: threejs
Interactive 3D Scatter Plots, Networks and Globes
Papers that mentioned: 7
Very Likely Science (60)
pypi: igraph
High performance graph data structures and algorithms
Papers that mentioned: 1,555
Very Likely Science (100)