Teams

Machine Learning Made Easy (MLme) is a novel tool that simplifies machine learning (ML) for researchers. By integrating four essential functionalities, namely data exploration, AutoML, CustomML, and visualization, MLme fulfills the diverse requirements of researchers while eliminating the need for extensive coding efforts. MLme serves as a valuable resource that empowers researchers of all technical levels to leverage ML for insightful data analysis and enhance research outcomes. By simplifying ...

Currently in progress

This project aims to develop tools that simplify the implementation of multi-analysis dynamic Functional Connectivity (dFC) assessment.

Nextflow pipelines for metabolomics data

A community effort to collect a curated set of analysis pipelines built using Nextflow.