Ecosyste.ms: Papers
An open API service providing mapping between scientific papers and software projects that are mentioned in them.
All mentions data is based on the CZI Software Mentions dataset.
Projects: cran: ggvis
https://packages.ecosyste.ms/registries/cran.r-project.org/packages/ggvis
Interactive Grammar of Graphics
11 versions
Latest release: almost 2 years ago
6 dependent packages
5,221 downloads last month
Papers Mentioning ggvis 7
10.1002/pmic.201400392
Visualization of proteomics data using R and BioconductorCited by: 46
Author(s): Laurent Gatto, Lisa M. Breckels, Thomas Naake, Sebastian Gibb
Software Mentions: 62
Published: over 9 years ago
10.1186/1471-2105-16-S11-S2
VisRseq: R-based visual framework for analysis of sequencing dataCited by: 59
Author(s): Hamid Younesy, Torsten B. Möller, Matthew C. Lorincz, Mehdi Karimi, Steven J.M. Jones
Software Mentions: 15
Published: over 9 years ago
10.1093/bib/bbv108
Dimension reduction techniques for the integrative analysis of multi-omics dataCited by: 262
Author(s): Chen Meng, Oana A. Zeleznik, Gerhard G. Thallinger, Bernhard Küster, Amin Moghaddas Gholami, Aedín C. Culhane
Software Mentions: 10
Published: almost 9 years ago
10.12688/f1000research.15433.1
Epiviz Web Components: reusable and extensible component library to visualize functional genomic datasetsCited by: 5
Author(s): Jayaram Kancherla, Alexander Zhang, Brian Gottfried, Héctor Corrada Bravo
Software Mentions: 5
Published: over 6 years ago
10.1371/journal.pone.0250665
Application of machine learning and genetic optimization algorithms for modeling and optimizing soybean yield using its component traitsCited by: 28
Author(s): Mohsen Yoosefzadeh-Najafabadi, Dan Tulpan, Milad Eskandari
Software Mentions: 4
Published: over 3 years ago
10.3389/fpls.2020.624273
Application of Machine Learning Algorithms in Plant Breeding: Predicting Yield From Hyperspectral Reflectance in SoybeanCited by: 86
Author(s): Mohsen Yoosefzadeh-Najafabadi, Hugh J. Earl, Dan Tulpan, John Sulik, Milad Eskandari
Software Mentions: 2
Published: almost 4 years ago
10.1371/journal.pone.0215722
Minimizing wildlife impacts for offshore wind energy development: Winning tradeoffs for seabirds in space and cetaceans in timeCited by: 15
Author(s): Benjamin Best, Patrick N. Halpin
Software Mentions: 1
Published: over 5 years ago