Collection of various algorithms implemented in R.

An "R" package for automatic download and preprocessing of MODIS Land Products Time Series

Dataflow Programming for Machine Learning in R

R package for pre-processing of mass and flow cytometry data

R package: Misc. Functions for Processing and Sample Selection of Spectroscopic Data

Make Your Couch a Data Pre-Processing Center

Visual documentation for data preprocessing in R and Python

Exercises From Book "Applied Predictive Modeling" by "Kuhn and Johnson (2013)"

RNA-seq Quality Control and Preprocessing Tool - Interactive Shiny application for comprehensive RNA sequencing data validation, quality assessment, filtering, and normalization. Developed at Harvard Medical School Department of Immunology for global research use.

QC systems for metabolomics studies

An R software for Gene Co-Expression Analysis

Big Data Preprocessing Architecture

An R package for preprocessing and Multivariate Analysis of Two-dimensional Gas Chromatography Data

Tools for pre-processing high-throughput animal tracking data.

Extensions and extras for tidy processing.

Methylation array preprocessing.

🧠 Advanced reproducible pupillometry preprocessing in R | Interactive reports, BIDS-compliant, High-throughput database tooling out-of-the-box | Actively developed by cognitive neuroscientists at Stanford University

This repository contains the PMAAD course project from the Artificial Intelligence Degree at Universitat Politècnica de Catalunya. It models and analyzes Spotify's top 40 weekly streamed songs (2017-2021) using R. Techniques include clustering, textual analysis, and geospatial analysis to uncover music trends and characteristics.

pClean: a tool for MS/MS spectrum preprocessing

preprocS2 is an R package dedicated to basic preprocessing of Sentinel-2 Level-2A reflectance images.