ArticleBioinformatics (Oxford, England)2013
Bioclipse-R: integrating management and visualization of life science data with statistical analysis.
Article in Bioinformatics (Oxford, England), 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
5 citing papers in PubMed.
- Large-scale ligand-based predictive modelling using support vector machines.Journal of cheminformatics · 2016Article
- Towards agile large-scale predictive modelling in drug discovery with flow-based programming design principles.Journal of cheminformatics · 2016Article
- RRegrs: an R package for computer-aided model selection with multiple regression models.Journal of cheminformatics · 2015Article
- Applications of the InChI in cheminformatics with the CDK and Bioclipse.Journal of cheminformatics · 2013Article
- A unified proteochemometric model for prediction of inhibition of cytochrome p450 isoforms.PloS one · 2013Article
Corrections and comments
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
summaryBioclipse, a graphical workbench for the life sciences, provides functionality for managing and visualizing life science data. We introduce Bioclipse-R, which integrates Bioclipse and the statistical programming language R. The synergy between Bioclipse and R is demonstrated by the construction of a decision support system for anticancer drug screening and mutagenicity prediction, which shows how Bioclipse-R can be used to perform complex tasks from within a single software system. AVAILABILITY AND IMPLEMENTATION: Bioclipse-R is implemented as a set of Java plug-ins for Bioclipse based on the R-package rj. Source code and binary packages are available from https://github.com/bioclipse and http://www.bioclipse.net/bioclipse-r, respectively. CONTACT: martin.eklund@farmbio.uu.se SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.