Discover how ChatGPT and the DIG framework make data analysis simple, fast, and accessible for everyone. Learn the 3-step DIG ...

The CLEAN framework is a structured, five-step methodology for data cleaning: Conceptualize, Locate, Evaluate, Augment, and Note, aimed at addressing data issues systematically and transparently.

This study presents a robust data-driven framework for identifying conservation laws in systems without known dynamics. By ...

Hongwei Li’s team from China University of Geosciences published a research article titled “scSCC: A swapped contrastive learning-based clustering method for single-cell gene expression data” in the ...

Data modeling is the framework that lets data analysis use data for decision-making. A combined approach is needed to maximize data insights.

Building on this framework, the team plans to integrate genetic data with the metabolic subgroups. Genome-wide association studies (GWAS) within each manifold-defined subgroup could reveal genetic ...