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mlr-org
paradox:Define and Work with Parameter Spaces for Complex Algorithms
Define parameter spaces, constraints and dependencies for arbitrary algorithms, to program on such spaces. Also includes statistical designs and random samplers. Objects are implemented as 'R6' classes.
Maintained by Martin Binder. Last updated 9 months ago.
experimental-designhyperparametersmlr3transformations
29 stars 11.56 score 316 scripts 38 dependentserhard-lab
grandR:Comprehensive Analysis of Nucleotide Conversion Sequencing Data
Nucleotide conversion sequencing experiments have been developed to add a temporal dimension to RNA-seq and single-cell RNA-seq. Such experiments require specialized tools for primary processing such as GRAND-SLAM, (see 'Jürges et al' <doi:10.1093/bioinformatics/bty256>) and specialized tools for downstream analyses. 'grandR' provides a comprehensive toolbox for quality control, kinetic modeling, differential gene expression analysis and visualization of such data.
Maintained by Florian Erhard. Last updated 2 months ago.
11 stars 7.03 score 18 scripts 1 dependentsdyfanjones
sagemaker.workflow:sagemaker pipeline and workflows
`sagemaker` pipeline and workflows.
Maintained by Dyfan Jones. Last updated 3 years ago.
2.18 score 1 dependents