Showing 4 of total 4 results (show query)
neurogenomics
rworkflows:Test, Document, Containerise, and Deploy R Packages
Reproducibility is essential to the progress of research, yet achieving it remains elusive even in computational fields. Continuous Integration (CI) platforms offer a powerful way to launch automated workflows to check and document code, but often require considerable time, effort, and technical expertise to setup. We therefore developed the rworkflows suite to make robust CI workflows easy and freely accessible to all R package developers. rworkflows consists of 1) a CRAN/Bioconductor-compatible R package template, 2) an R package to quickly implement a standardised workflow, and 3) a centrally maintained GitHub Action.
Maintained by Brian Schilder. Last updated 2 months ago.
softwareworkflowmanagementbioconductorcontainerscontinuous-integrationdockerdockerhubgithub-actionsreproducibilityworkflows
79 stars 7.60 score 6 scripts
spsanderson
healthyR.ts:The Time Series Modeling Companion to 'healthyR'
Hospital time series data analysis workflow tools, modeling, and automations. This library provides many useful tools to review common administrative time series hospital data. Some of these include average length of stay, and readmission rates. The aim is to provide a simple and consistent verb framework that takes the guesswork out of everything.
Maintained by Steven Sanderson. Last updated 6 months ago.
aiarima-forecastingarima-modeletsforecastingggplot2machine-learningmodelingprophettime-seriestime-series-analysisworkflows
19 stars 7.58 score 56 scripts 1 dependents
shawntz
eyeris:Flexible, Extensible, & Reproducible Processing of Pupil Data
Pupillometry offers a non-invasive window into the mind and has been used extensively as a psychophysiological readout of arousal signals linked with cognitive processes like attention, stress, and emotional states (see Clewett et al., 2020 <doi:10.1038/s41467-020-17851-9>; Kret & Sjak-Shie, 2018 <doi:10.3758/s13428-018-1075-y>; Strauch, 2024 <doi:10.1016/j.tins.2024.06.002>). Yet, despite decades of pupillometry research, many established packages and workflows to date unfortunately lack design patterns based on Findability, Accessibility, Interoperability, and Reusability (FAIR) principles (see Wilkinson et al., 2016 <doi:10.1038/sdata.2016.18> for more information). 'eyeris', on the other hand, follows a design philosophy that provides users with an intuitive, modular, performant, and extensible pupillometry data preprocessing framework out-of-the-box. 'eyeris' introduces a Brain Imaging Data Structure (BIDS)-like organization for derivative (i.e., preprocessed) pupillometry data as well as an intuitive workflow for inspecting preprocessed pupil epochs using interactive output report files (Esteban et al., 2019 <doi:10.1038/s41592-018-0235-4>; Gorgolewski et al., 2016 <doi:10.1038/sdata.2016.44>).
Maintained by Shawn Schwartz. Last updated 2 days ago.
eye-trackingpipelinespreprocessingpupillometryreproducible-sciencestanfordworkflows
4 stars 6.73 score
bioc
AnVILWorkflow:Run workflows implemented in Terra/AnVIL workspace
The AnVIL is a cloud computing resource developed in part by the National Human Genome Research Institute. The main cloud-based genomics platform deported by the AnVIL project is Terra. The AnVILWorkflow package allows remote access to Terra implemented workflows, enabling end-user to utilize Terra/ AnVIL provided resources - such as data, workflows, and flexible/scalble computing resources - through the conventional R functions.
Maintained by Sehyun Oh. Last updated 1 months ago.
infrastructuresoftwareanvilgcpterraworkflows
6 stars 5.95 score 1 scripts