Other packages > Find by keyword >

Explore topics

By keyword . Oldest R packages . Newest R packages . Top downloaded R packages . Datasets . Archived R packages . Top downloaded last week . Top downloaded yesterday

flowml

Star Watch Copy Code

A Backend for a 'nextflow' Pipeline that Performs Machine-Learning-Based Modeling of Biomedical Data

View on CRAN: Click here

Download and install flowml package within the R console
Install from CRAN:

 install.packages("flowml")

Install from Github:

 library("remotes")

                        install_github("cran/flowml")

Install by package version:

 library("remotes")

                        install_version("flowml", "0.1.3")

Attach the package and use:

 library("flowml")

Maintained by
Sebastian Malkusch
[Scholar Profile | Author Map]

All associated links for this package

First Published: 2023-10-09

Latest Update: 2024-02-16

Description:

Provides functionality to perform machine-learning-based modeling in a computation pipeline. Its functions contain the basic steps of machine-learning-based knowledge discovery workflows, including model training and optimization, model evaluation, and model testing. To perform these tasks, the package builds heavily on existing machine-learning packages, such as 'caret' and associated packages. The package can train multiple models, optimize model hyperparameters by performing a grid search or a random search, and evaluates model performance by different metrics. Models can be validated either on a test data set, or in case of a small sample size by k-fold cross validation or repeated bootstrapping. It also allows for 0-Hypotheses generation by performing permutation experiments. Additionally, it offers methods of model interpretation and item categorization to identify the most informative features from a high dimensional data space. The functions of this package can easily be integrated into computation pipelines (e.g. 'nextflow' ) and hereby improve scalability, standardization, and re-producibility in the context of machine-learning.

How to cite:

Sebastian Malkusch (2023). flowml: A Backend for a 'nextflow' Pipeline that Performs Machine-Learning-Based Modeling of Biomedical Data. R package version 0.1.3, https://cran.r-project.org/web/packages/flowml. Accessed 05 Aug. 2026.

Previous versions and publish date:

(2026-07-09 07:39), 0.1.2 (2023-10-09 14:50), 0.1.3 (2024-02-16 11:40)

Other packages that cited flowml R package

View flowml citation profile

Other R packages that flowml depends, imports, suggests or enhances

View flowml dependency map

Complete documentation for flowml

View documentation PDF

Functions, R codes and Examples using the flowml R package

Some associated functions: Resampler . create_parser . create_resample_experiment . fml_bootstrap . fml_example . fml_interpret . fml_train . fml_validate . format_y . run_abc_analysis .
Some associated R codes: fml_bootstrap.R . fml_categorize.R . fml_example.R . fml_format_response.R . fml_globals.R . fml_grids.R . fml_interpret.R . fml_parser.R . fml_resample.R . fml_resampler.R . fml_train.R . fml_validate.R . Full flowml package functions and examples

Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

noisyr

Noise Quantification in High Throughput Sequencing Output

Quantifies and removes technical noise from high-throughput sequencing data. Two approaches are use ...
Download / Learn more Package Citations See dependency

Maintainer: Ilias Moutsopoulos (view profile)

kernelPSI

Post-Selection Inference for Nonlinear Variable Selection

Different post-selection inference strategies for kernelselection as described in kernelPSI a Post-S ...
Download / Learn more Package Citations See dependency

Maintainer: Lotfi Slim (view profile)

dcov

A Fast Implementation of Distance Covariance

Efficient methods for computing distance covariance and relevant statistics. See Sz ...
Download / Learn more Package Citations See dependency

Maintainer: Hang Weiqiang (view profile)

quickcode

Quick and Essential 'R' Tricks for Better Scripts

The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to im ...
Download / Learn more Package Citations See dependency

Maintainer: Obinna Obianom (view profile)

dhReg

Dynamic Harmonic Regression

Building and forecasting time series data with multiple seasonality using Dynamic Harmonic Regressio ...
Download / Learn more Package Citations See dependency

Maintainer: Pranay Gaikwad (view profile)