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Creating Anatomically Accurate and Reproducible Intracranial Xenografts of Human Brain Tumors

Creating Anatomically Accurate and Reproducible Intracranial Xenografts of Human Brain Tumors

Published on: September 24, 2014

Reproducible and replicable comparisons using SummarizedBenchmark.

Patrick K Kimes^1,2, Alejandro Reyes^1,2

¹Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute, Boston, MA, USA.

Bioinformatics (Oxford, England)

|July 18, 2018

Summary

This summary is machine-generated.

This study introduces SummarizedBenchmark, an R package that standardizes biological tool comparisons. It enhances reproducibility and consistency in benchmark studies for biological questions.

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Area of Science:

Bioinformatics
Computational Biology
Data Science

Background:

Benchmark studies are crucial for evaluating biological tools but often lack standardization.
Inconsistent implementation of benchmarks hinders reproducibility and comparability.

Purpose of the Study:

To introduce SummarizedBenchmark, an R package and framework for organizing biological benchmark comparisons.
To provide a standardized approach for setting up and executing benchmark studies.
To improve the reproducibility and replicability of biological tool evaluations.

Main Methods:

Development of SummarizedBenchmark, an R package available via Bioconductor.
Implementation of a general grammar for structuring benchmark comparisons.
Demonstration of framework applicability across diverse biological applications.

Main Results:

SummarizedBenchmark offers a consistent framework for biological benchmarking.
The package facilitates easier setup and execution of comparative analyses.
The framework demonstrably improves reproducibility and replicability.

Conclusions:

SummarizedBenchmark provides a standardized and robust solution for biological tool benchmarking.
The framework's design promotes consistent and reliable evaluation of computational tools.
This approach is applicable across various biological research domains.